Digital in-line holographic microscopy for label-free identification and tracking of biological cells.


Journal

Military Medical Research
ISSN: 2054-9369
Titre abrégé: Mil Med Res
Pays: England
ID NLM: 101643181

Informations de publication

Date de publication:
13 Jun 2024
Historique:
received: 26 12 2023
accepted: 31 05 2024
medline: 13 6 2024
pubmed: 13 6 2024
entrez: 12 6 2024
Statut: epublish

Résumé

Digital in-line holographic microscopy (DIHM) is a non-invasive, real-time, label-free technique that captures three-dimensional (3D) positional, orientational, and morphological information from digital holographic images of living biological cells. Unlike conventional microscopies, the DIHM technique enables precise measurements of dynamic behaviors exhibited by living cells within a 3D volume. This review outlines the fundamental principles and comprehensive digital image processing procedures employed in DIHM-based cell tracking methods. In addition, recent applications of DIHM technique for label-free identification and digital tracking of various motile biological cells, including human blood cells, spermatozoa, diseased cells, and unicellular microorganisms, are thoroughly examined. Leveraging artificial intelligence has significantly enhanced both the speed and accuracy of digital image processing for cell tracking and identification. The quantitative data on cell morphology and dynamics captured by DIHM can effectively elucidate the underlying mechanisms governing various microbial behaviors and contribute to the accumulation of diagnostic databases and the development of clinical treatments.

Identifiants

pubmed: 38867274
doi: 10.1186/s40779-024-00541-8
pii: 10.1186/s40779-024-00541-8
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

38

Subventions

Organisme : National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)
ID : RS-2023-00218630
Organisme : National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)
ID : RS-2023-00218630

Informations de copyright

© 2024. The Author(s).

Références

Stephens DJ, Allan VJ. Light microscopy techniques for live cell imaging. Science. 2003;300(5616):82–6.
pubmed: 12677057 doi: 10.1126/science.1082160
Ntziachristos V. Going deeper than microscopy: the optical imaging frontier in biology. Nat Methods. 2010;7(8):603–14.
pubmed: 20676081 doi: 10.1038/nmeth.1483
Spiller DG, Wood CD, Rand DA, White MR. Measurement of single-cell dynamics. Nature. 2010;465(7299):736–45.
pubmed: 20535203 doi: 10.1038/nature09232
Cierpka C, Kähler CJ. Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics. J Vis. 2012;15:1–31.
doi: 10.1007/s12650-011-0107-9
Morris JD, Payne CK. Microscopy and cell biology: new methods and new questions. Ann Rev Phys Chem. 2019;70:199–218.
doi: 10.1146/annurev-physchem-042018-052527
Gravesen P, Branebjerg J, Jensen OS. Microfluidics - a review. J Micromech Microeng. 1993;3(4):168.
doi: 10.1088/0960-1317/3/4/002
Stone HA, Stroock AD, Ajdari A. Engineering flows in small devices: microfluidics toward a lab-on-a-chip. Annu Rev Fluid Mech. 2004;36:381–411.
doi: 10.1146/annurev.fluid.36.050802.122124
Sackmann EK, Fulton AL, Beebe DJ. The present and future role of microfluidics in biomedical research. Nature. 2014;507(7491):181–9.
pubmed: 24622198 doi: 10.1038/nature13118
Samiei E, Tabrizian M, Hoorfar M. A review of digital microfluidics as portable platforms for lab-on a-chip applications. Lab Chip. 2016;16(13):2376–96.
pubmed: 27272540 doi: 10.1039/C6LC00387G
Wang X, Hong XZ, Li YW, Li Y, Wang J, Chen P, et al. Microfluidics-based strategies for molecular diagnostics of infectious diseases. Mil Med Res. 2022;9(1):11.
pubmed: 35300739 pmcid: 8930194
Dupire J, Socol M, Viallat A. Full dynamics of a red blood cell in shear flow. Proc Natl Acad Sci U S A. 2012;109(51):20808–13.
pubmed: 23213229 pmcid: 3529085 doi: 10.1073/pnas.1210236109
Zeng NF, Ristenpart WD. Mechanical response of red blood cells entering a constriction. Biomicrofluidics. 2014;8(6):064123.
pubmed: 25553197 pmcid: 4265125 doi: 10.1063/1.4904058
Lansche C, Dasanna AK, Quadt K, Fröhlich B, Missirlis D, Tétard M, et al. The sickle cell trait affects contact dynamics and endothelial cell activation in Plasmodium falciparum-infected erythrocytes. Commun Biol. 2018;1:211.
pubmed: 30534603 pmcid: 6269544 doi: 10.1038/s42003-018-0223-3
Atwell S, Badens C, Charrier A, Helfer E, Viallat A. Dynamics of individual red blood cells under shear flow: a way to discriminate deformability alterations. Front Physiol. 2022;12:775584.
pubmed: 35069240 pmcid: 8767062 doi: 10.3389/fphys.2021.775584
Recktenwald SM, Graessel K, Maurer FM, John T, Gekle S, Wagner C. Red blood cell shape transitions and dynamics in time-dependent capillary flows. Biophys J. 2022;121(1):23–36.
pubmed: 34896369 doi: 10.1016/j.bpj.2021.12.009
Darrin M, Samudre A, Sahun M, Atwell S, Badens C, Charrier A, et al. Classification of red cell dynamics with convolutional and recurrent neural networks: a sickle cell disease case study. Sci Rep. 2023;13(1):745.
pubmed: 36639503 pmcid: 9839696 doi: 10.1038/s41598-023-27718-w
Egeblad M, Ewald AJ, Askautrud HA, Truitt ML, Welm BE, Bainbridge E, et al. Visualizing stromal cell dynamics in different tumor microenvironments by spinning disk confocal microscopy. Dis Models Mech. 2008;1(2–3):155–67.
doi: 10.1242/dmm.000596
Renaud O, Herbomel P, Kissa K. Studying cell behavior in whole zebrafish embryos by confocal live imaging: application to hematopoietic stem cells. Nat Protoc. 2011;6(12):1897–904.
pubmed: 22082984 doi: 10.1038/nprot.2011.408
Carey SP, Kraning-Rush CM, Williams RM, Reinhart-King CA. Biophysical control of invasive tumor cell behavior by extracellular matrix microarchitecture. Biomaterials. 2012;33(16):4157–65.
pubmed: 22405848 pmcid: 3313011 doi: 10.1016/j.biomaterials.2012.02.029
Elliott AD. Confocal microscopy: principles and modern practices. Curr Protoc Cytom. 2020;92(1):e68.
pubmed: 31876974 pmcid: 6961134 doi: 10.1002/cpcy.68
Agero U, Monken C, Ropert C, Gazzinelli R, Mesquita O. Cell surface fluctuations studied with defocusing microscopy. Phys Rev E. 2003;67(5):051904.
doi: 10.1103/PhysRevE.67.051904
Etcheverry S, Gallardo MJ, Solano P, Suwalsky M, Mesquita ON, Saavedra C. Real-time study of shape and thermal fluctuations in the echinocyte transformation of human erythrocytes using defocusing microscopy. J Biomed Opt. 2012;17(10):106013.
pubmed: 23224012 doi: 10.1117/1.JBO.17.10.106013
Roma PM, Siman L, Hissa B, Agero U, Braga EM, Mesquita ON. Profiling of individual human red blood cells under osmotic stress using defocusing microscopy. J Biomed Opt. 2016;21(9):090505.
doi: 10.1117/1.JBO.21.9.090505
Gabor D. A new microscopic principle. Nature. 1948;161(4098):777–8.
pubmed: 18860291 doi: 10.1038/161777a0
Murata S, Yasuda N. Potential of digital holography in particle measurement. Opt Laser Technol. 2000;32(7–8):567–74.
doi: 10.1016/S0030-3992(00)00088-8
Garcia-Sucerquia J, Xu W, Jericho SK, Klages P, Jericho MH, Kreuzer HJ. Digital in-line holographic microscopy. Appl Opt. 2006;45(5):836–50.
pubmed: 16512525 doi: 10.1364/AO.45.000836
Sheng J, Malkiel E, Katz J. Digital holographic microscope for measuring three-dimensional particle distributions and motions. Appl Opt. 2006;45(16):3893–901.
pubmed: 16724155 doi: 10.1364/AO.45.003893
Kim MK. Principles and techniques of digital holographic microscopy. SPIE Rev. 2010;1(1):018005.
Choi YS, Seo KW, Sohn MH, Lee SJ. Advances in digital holographic micro-PTV for analyzing microscale flows. Opt Lasers Eng. 2012;50(1):39–45.
doi: 10.1016/j.optlaseng.2011.06.023
Yu X, Hong J, Liu C, Kim MK. Review of digital holographic microscopy for three-dimensional profiling and tracking. Opt Eng. 2014;53(11):112306.
doi: 10.1117/1.OE.53.11.112306
Memmolo P, Miccio L, Paturzo M, Di Caprio G, Coppola G, Netti PA, et al. Recent advances in holographic 3D particle tracking. Adv Opt Photonics. 2015;7(4):713–55.
doi: 10.1364/AOP.7.000713
Wu Y, Ozcan A. Lensless digital holographic microscopy and its applications in biomedicine and environmental monitoring. Methods. 2018;136:4–16.
pubmed: 28864356 doi: 10.1016/j.ymeth.2017.08.013
Xu W, Jericho M, Meinertzhagen I, Kreuzer H. Digital in-line holography of microspheres. Appl Opt. 2002;41(25):5367–75.
pubmed: 12211566 doi: 10.1364/AO.41.005367
Sheng J, Malkiel E, Katz J. Using digital holographic microscopy for simultaneous measurements of 3D near wall velocity and wall shear stress in a turbulent boundary layer. Exp Fluids. 2008;45:1023–35.
doi: 10.1007/s00348-008-0524-2
Choi YS, Lee SJ. Holographic analysis of three-dimensional inertial migration of spherical particles in micro-scale pipe flow. Microfluid Nanofluidics. 2010;9:819–29.
doi: 10.1007/s10404-010-0601-8
Katz J, Sheng J. Applications of holography in fluid mechanics and particle dynamics. Annu Rev Fluid Mech. 2010;42:531–55.
doi: 10.1146/annurev-fluid-121108-145508
Choi YS, Seo KW, Lee SJ. Lateral and cross-lateral focusing of spherical particles in a square microchannel. Lab Chip. 2011;11(3):460–5.
pubmed: 21072415 doi: 10.1039/C0LC00212G
Seo KW, Choi YS, Lee SJ. Dean-coupled inertial migration and transient focusing of particles in a curved microscale pipe flow. Exp Fluids. 2012;53(6):1867–77.
doi: 10.1007/s00348-012-1403-4
Seo KW, Byeon HJ, Huh HK, Lee SJ. Particle migration and single-line particle focusing in microscale pipe flow of viscoelastic fluids. RSC Adv. 2014;4:3512–20.
doi: 10.1039/C3RA43522A
Lee SH, Roichman Y, Yi GR, Kim SH, Yang SM, van Blaaderen A, et al. Characterizing and tracking single colloidal particles with video holographic microscopy. Opt Express. 2007;15(26):18275–82.
pubmed: 19551125 doi: 10.1364/OE.15.018275
Fung J, Martin KE, Perry RW, Kaz DM, McGorty R, Manoharan VN. Measuring translational, rotational, and vibrational dynamics in colloids with digital holographic microscopy. Opt Express. 2011;19(9):8051–65.
pubmed: 21643054 doi: 10.1364/OE.19.008051
Verrier N, Fournier C, Fournel T. 3D tracking the Brownian motion of colloidal particles using digital holographic microscopy and joint reconstruction. Appl Opt. 2015;54(16):4996–5002.
pubmed: 26192657 doi: 10.1364/AO.54.004996
Ling H, Srinivasan S, Golovin K, McKinley GH, Tuteja A, Katz J. High-resolution velocity measurement in the inner part of turbulent boundary layers over super-hydrophobic surfaces. J Fluid Mech. 2016;801:670–703.
doi: 10.1017/jfm.2016.450
Wang L, Wu Y, Wu X, Cen K. Measurement of dynamics of laser-induced cavitation around nanoparticle with high-speed digital holographic microscopy. Exp Therm Fluid Sci. 2021;121:110266.
doi: 10.1016/j.expthermflusci.2020.110266
Go T, Kim J, Lee SJ. Three-dimensional volumetric monitoring of settling particulate matters on a leaf using digital in-line holographic microscopy. J Hazard Mater. 2021;404(Pt A):124116.
pubmed: 33049638 doi: 10.1016/j.jhazmat.2020.124116
Kim J, Kim J, Kim Y, Go T, Lee SJ. Accelerated settling velocity of airborne particulate matter on hairy plant leaves. J Environ Manage. 2023;332:117313.
pubmed: 36716541 doi: 10.1016/j.jenvman.2023.117313
Xu W, Jericho M, Meinertzhagen I, Kreuzer H. Digital in-line holography for biological applications. Proc Natl Acad Sci U S A. 2001;98(20):11301–5.
pubmed: 11572982 pmcid: 58724 doi: 10.1073/pnas.191361398
Jericho S, Garcia-Sucerquia J, Xu W, Jericho M, Kreuzer H. Submersible digital in-line holographic microscope. Rev Sci Instrum. 2006;77(4):043706.
doi: 10.1063/1.2193827
Rotermund L, Samson J, Kreuzer H. A submersible holographic microscope for 4D in-situ studies of micro-organisms in the ocean with intensity and quantitative phase imaging. J Marine Sci Res Dev. 2016;6(1):1000181.
Liu Z, Takahashi T, Lindsay D, Thevar T, Sangekar M, Watanabe HK, et al. Digital in-line holography for large-volume analysis of vertical motion of microscale marine plankton and other particles. IEEE J Ocean Eng. 2021;46(4):1248–60.
doi: 10.1109/JOE.2021.3066788
Repetto L, Piano E, Pontiggia C. Lensless digital holographic microscope with light-emitting diode illumination. Opt Lett. 2004;29(10):1132–4.
pubmed: 15182009 doi: 10.1364/OL.29.001132
Mariën J, Stahl R, Lambrechts A, van Hoof C, Yurt A. Color lens-free imaging using multi-wavelength illumination based phase retrieval. Opt Express. 2020;28(22):33002–18.
pubmed: 33114984 doi: 10.1364/OE.402293
Xiong Z, Potter CJ, McLeod E. High-speed lens-free holographic sensing of protein molecules using quantitative agglutination assays. ACS Sensors. 2021;6(3):1208–17.
pubmed: 33587611 pmcid: 8259606 doi: 10.1021/acssensors.0c02481
Liu J-P, Tahara T, Hayasaki Y, Poon TC. Incoherent digital holography: a review. Appl Sci. 2018;8(1):143.
doi: 10.3390/app8010143
Rosen J, Vijayakumar A, Kumar M, Rai MR, Kelner R, Kashter Y, et al. Recent advances in self-interference incoherent digital holography. Adv Opt Photonics. 2019;11(1):1–66.
doi: 10.1364/AOP.11.000001
Tahara T, Zhang Y, Rosen J, Anand V, Cao L, Wu J, et al. Roadmap of incoherent digital holography. Appl Phys B. 2022;128:193.
doi: 10.1007/s00340-022-07911-x
Tahara T. Polarization-filterless polarization-sensitive polarization-multiplexed phase-shifting incoherent digital holography (P
pubmed: 37527073 doi: 10.1364/OL.491990
Chang M, Hu CP, Lam P, Wyant JC. High precision deformation measurement by digital phase shifting holographic interferometry. Appl Opt. 1985;24(22):3780–3.
pubmed: 18224120 doi: 10.1364/AO.24.003780
Awatsuji Y, Tahara T, Kaneko A, Koyama T, Nishio K, Ura S, et al. Parallel two-step phase-shifting digital holography. Appl Opt. 2008;47(19):D183–9.
pubmed: 18594574 doi: 10.1364/AO.47.00D183
Tahara T, Awatsuji Y, Shimozato Y, Kakue T, Nishio K, Ura S, et al. Single-shot polarization-imaging digital holography based on simultaneous phase-shifting interferometry. Opt Lett. 2011;36(16):3254–6.
pubmed: 21847225 doi: 10.1364/OL.36.003254
Sanz M, Picazo-Bueno JA, García J, Micó V. Improved quantitative phase imaging in lensless microscopy by single-shot multi-wavelength illumination using a fast convergence algorithm. Opt Express. 2015;23(16):21352–65.
pubmed: 26367983 doi: 10.1364/OE.23.021352
Farthing NE, Findlay RC, Jikeli JF, Walrad PB, Bees MA, Wilson LG. Simultaneous two-color imaging in digital holographic microscopy. Opt Express. 2017;25(23):28489–500.
pubmed: 31956278 doi: 10.1364/OE.25.028489
Min J, Zhou M, Yuan X, Wen K, Yu X, Peng T, et al. Optical thickness measurement with single-shot dual-wavelength in-line digital holography. Opt Lett. 2018;43(18):4469–72.
pubmed: 30211892 doi: 10.1364/OL.43.004469
Zhang H, Stangner T, Wiklund K, Andersson M. Object plane detection and phase retrieval from single-shot holograms using multi-wavelength in-line holography. Appl Opt. 2018;57(33):9855–62.
pubmed: 30462021 doi: 10.1364/AO.57.009855
Lee SH, Grier DG. Holographic microscopy of holographically trapped three-dimensional structures. Opt Express. 2007;15(4):1505–12.
pubmed: 19532383 doi: 10.1364/OE.15.001505
Cheong FC, Xiao K, Grier DG. Characterizing individual milk fat globules with holographic video microscopy. J Dairy Sci. 2009;92(1):95–9.
pubmed: 19109267 doi: 10.3168/jds.2008-1361
Cheong FC, Krishnatreya BJ, Grier DG. Strategies for three-dimensional particle tracking with holographic video microscopy. Opt Express. 2010;18(13):13563–73.
pubmed: 20588488 doi: 10.1364/OE.18.013563
Cheong FC, Grier DG. Rotational and translational diffusion of copper oxide nanorods measured with holographic video microscopy. Opt Express. 2010;18(7):6555–62.
pubmed: 20389679 doi: 10.1364/OE.18.006555
Fugal JP, Schulz TJ, Shaw RA. Practical methods for automated reconstruction and characterization of particles in digital in-line holograms. Meas Sci Technol. 2009;20(7):075501.
doi: 10.1088/0957-0233/20/7/075501
Pedrini G, Schedin S, Tiziani HJ. Spatial filtering in digital holographic microscopy. J Mod Opt. 2000;47(8):1447–54.
doi: 10.1080/09500340008235115
Malkiel E, Abras JN, Katz J. Automated scanning and measurements of particle distributions within a holographic reconstructed volume. Meas Sci Technol. 2004;15(4):601.
doi: 10.1088/0957-0233/15/4/001
Lee SJ, Seo KW, Choi YS, Sohn MH. Three-dimensional motion measurements of free-swimming microorganisms using digital holographic microscopy. Meas Sci Technol. 2011;22:064004.
doi: 10.1088/0957-0233/22/6/064004
Singh DK, Panigrahi P. Improved digital holographic reconstruction algorithm for depth error reduction and elimination of out-of-focus particles. Opt Express. 2010;18(3):2426–48.
pubmed: 20174072 doi: 10.1364/OE.18.002426
Garcia-Sucerquia J, Ramírez JAH, Prieto DV. Reduction of speckle noise in digital holography by using digital image processing. Optik. 2005;116(1):44–8.
doi: 10.1016/j.ijleo.2004.12.004
Yang Y, Kang BS, Choo YJ. Application of the correlation coefficient method for determination of the focal plane to digital particle holography. Appl Opt. 2008;47(6):817–24.
pubmed: 18288231 doi: 10.1364/AO.47.000817
Kukrer O, Hocanin A. Frequency-response-shaped LMS adaptive filter. Digit Signal Process. 2006;16(6):855–69.
doi: 10.1016/j.dsp.2006.07.004
Zajtsev AK, Lin SH, Hsu KY. Sidelobe suppression of spectral response in holographic optical filter. Opt Commun. 2001;190(1–6):103–8.
doi: 10.1016/S0030-4018(01)01067-7
Sharma A, Sheoran G, Jaffery Z. Improvement of signal-to-noise ratio in digital holography using wavelet transform. Opt Lasers Eng. 2008;46(1):42–7.
doi: 10.1016/j.optlaseng.2007.07.004
Uzan A, Rivenson Y, Stern A. Speckle denoising in digital holography by nonlocal means filtering. Appl Opt. 2013;52(1):A195–200.
pubmed: 23292394 doi: 10.1364/AO.52.00A195
Molaei M, Sheng J. Imaging bacterial 3D motion using digital in-line holographic microscopy and correlation-based de-noising algorithm. Opt Express. 2014;22(26):32119–37.
pubmed: 25607177 pmcid: 4317141 doi: 10.1364/OE.22.032119
Jeon W, Jeong W, Son K, Yang H. Speckle noise reduction for digital holographic images using multi-scale convolutional neural networks. Opt Lett. 2018;43(17):4240–3.
pubmed: 30160761 doi: 10.1364/OL.43.004240
Bai C, Peng T, Min J, Li R, Zhou Y, Yao B. Dual-wavelength in-line digital holography with untrained deep neural networks. Photonics Res. 2021;9(12):2501–10.
doi: 10.1364/PRJ.441054
Chen L, Chen X, Cui H, Long Y, Wu J. Image enhancement in lensless inline holographic microscope by inter-modality learning with denoising convolutional neural network. Opt Commun. 2021;484:126682.
doi: 10.1016/j.optcom.2020.126682
Bishara W, Su TW, Coskun AF, Ozcan A. Lensfree on-chip microscopy over a wide field-of-view using pixel super-resolution. Opt Express. 2010;18(11):11181–91.
pubmed: 20588977 pmcid: 2898729 doi: 10.1364/OE.18.011181
Byeon H, Go T, Lee SJ. Deep learning-based digital in-line holographic microscopy for high resolution with extended field of view. Opt Laser Technol. 2019;113:77–86.
doi: 10.1016/j.optlastec.2018.12.014
Luo Z, Yurt A, Stahl R, Lambrechts A, Reumers V, Braeken D, et al. Pixel super-resolution for lens-free holographic microscopy using deep learning neural networks. Opt Express. 2019;27(10):13581–95.
pubmed: 31163820 doi: 10.1364/OE.27.013581
Lee H, Kim J, Kim J, Jeon P, Lee SA, Kim D. Noniterative sub-pixel shifting super-resolution lensless digital holography. Opt Express. 2021;29(19):29996–30006.
pubmed: 34614732 doi: 10.1364/OE.433719
Potter CJ, Hu Y, Xiong Z, Wang J, McLeod E. Point-of-care SARS-CoV-2 sensing using lens-free imaging and a deep learning-assisted quantitative agglutination assay. Lab Chip. 2022;22(19):3744–54.
pubmed: 36047372 pmcid: 9529856 doi: 10.1039/D2LC00289B
Goodman JW. Introduction to Fourier optics. Colorado: Roberts and Company Publishers; 2005.
Born M, Wolf E. Principles of optics: electromagnetic theory of propagation, interference and diffraction of light. Amsterdam: Elsevier; 2013.
Barton JJ. Photoelectron holography. Phys Rev Lett. 1988;61(12):1356–9.
pubmed: 10038773 doi: 10.1103/PhysRevLett.61.1356
Kreuzer H, Nakamura K, Wierzbicki A, Fink H, Schmid H. Theory of the point source electron microscope. Ultramicroscopy. 1992;45(3–4):381–403.
doi: 10.1016/0304-3991(92)90150-I
Kreuzer H. Low energy electron point source microscopy. Micron. 1995;26(6):503–9.
doi: 10.1016/0968-4328(95)00021-6
Delen N, Hooker B. Free-space beam propagation between arbitrarily oriented planes based on full diffraction theory: a fast Fourier transform approach. JOSA A. 1998;15(4):857–67.
doi: 10.1364/JOSAA.15.000857
Veerman JA, Rusch JJ, Urbach HP. Calculation of the Rayleigh-Sommerfeld diffraction integral by exact integration of the fast oscillating factor. JOSA A. 2005;22(4):636–46.
pubmed: 15839270 doi: 10.1364/JOSAA.22.000636
Shen F, Wang A. Fast-Fourier-transform based numerical integration method for the Rayleigh-Sommerfeld diffraction formula. Appl Opt. 2006;45(6):1102–10.
pubmed: 16523770 doi: 10.1364/AO.45.001102
Wilson L, Zhang R. 3D Localization of weak scatterers in digital holographic microscopy using Rayleigh-Sommerfeld back-propagation. Opt Express. 2012;20(15):16735–44.
doi: 10.1364/OE.20.016735
Sheng J, Malkiel E, Katz J, Adolf J, Belas R, Place AR. Digital holographic microscopy reveals prey-induced changes in swimming behavior of predatory dinoflagellates. Proc Natl Acad Sci U S A. 2007;104(44):17512–7.
pubmed: 17959778 pmcid: 2077287 doi: 10.1073/pnas.0704658104
Ratcliffe JA. Some aspects of diffraction theory and their application to the ionosphere. Rep Prog Phys. 1956;19:188.
doi: 10.1088/0034-4885/19/1/306
Koren G, Polack F, Joyeux D. Iterative algorithms for twin-image elimination in in-line holography using finite-support constraints. JOSA A. 1993;10(3):423–33.
doi: 10.1364/JOSAA.10.000423
Latychevskaia T, Fink HW. Solution to the twin image problem in holography. Phys Rev Lett. 2007;98(23):233901.
pubmed: 17677906 doi: 10.1103/PhysRevLett.98.233901
Ling H, Katz J. Separating twin images and locating the center of a microparticle in dense suspensions using correlations among reconstructed fields of two parallel holograms. Appl Opt. 2014;53(27):G1–11.
pubmed: 25322116 doi: 10.1364/AO.53.0000G1
Oe K, Nomura T. Twin-image reduction method using a diffuser for phase imaging in-line digital holography. Appl Opt. 2018;57(20):5652–6.
pubmed: 30118077 doi: 10.1364/AO.57.005652
Rivenson Y, Zhang Y, Günaydın H, Teng D, Ozcan A. Phase recovery and holographic image reconstruction using deep learning in neural networks. Light Sci Appl. 2018;7:17141.
pubmed: 30839514 pmcid: 6060068 doi: 10.1038/lsa.2017.141
Latychevskaia T. Iterative phase retrieval for digital holography: tutorial. JOSA A. 2019;36(12):D31–40.
pubmed: 31873366 doi: 10.1364/JOSAA.36.000D31
Shangraw M, Ling H. Separating twin images in digital holographic microscopy using weak scatterers. Appl Opt. 2021;60(3):626–34.
pubmed: 33690444 doi: 10.1364/AO.410167
Langehanenberg P, Kemper B, Dirksen D, von Bally G. Autofocusing in digital holographic phase contrast microscopy on pure phase objects for live cell imaging. Appl Opt. 2008;47(19):D176–82.
pubmed: 18594573 doi: 10.1364/AO.47.00D176
Memmolo P, Distante C, Paturzo M, Finizio A, Ferraro P, Javidi B. Automatic focusing in digital holography and its application to stretched holograms. Opt Lett. 2011;36(10):1945–7.
pubmed: 21593944 doi: 10.1364/OL.36.001945
Gibson T, Bedrossian M, Serabyn E, Lindensmith C, Nadeau JL. Using the Gouy phase anomaly to localize and track bacteria in digital holographic microscopy 4D images. JOSA A. 2021;38(2):A11–8.
pubmed: 33690523 doi: 10.1364/JOSAA.404004
Memmolo P, Paturzo M, Javidi B, Netti PA, Ferraro P. Refocusing criterion via sparsity measurements in digital holography. Opt Lett. 2014;39(16):4719–22.
pubmed: 25121857 doi: 10.1364/OL.39.004719
Yeo T, Ong S, Sinniah R. Autofocusing for tissue microscopy. Image Vis Comput. 1993;11(10):629–39.
doi: 10.1016/0262-8856(93)90059-P
Brenner JF, Dew BS, Horton JB, King T, Neurath PW, Selles WD. An automated microscope for cytologic research a preliminary evaluation. J Histochem Cytochem. 1976;24(1):100–11.
pubmed: 1254907 doi: 10.1177/24.1.1254907
Trusiak M, Picazo-Bueno JA, Zdankowski P, Micó V. DarkFocus: numerical autofocusing in digital in-line holographic microscopy using variance of computational dark-field gradient. Opt Lasers Eng. 2020;134:106195.
doi: 10.1016/j.optlaseng.2020.106195
Li W, Loomis NC, Hu Q, Davis CS. Focus detection from digital in-line holograms based on spectral L
pubmed: 17912295 doi: 10.1364/JOSAA.24.003054
Kumar SS, Sun Y, Zou S, Hong J. 3D holographic observatory for long-term monitoring of complex behaviors in drosophila. Sci Rep. 2016;6:33001.
pubmed: 27605243 pmcid: 5015086 doi: 10.1038/srep33001
Ren Z, Xu Z, Lam EY. Learning-based nonparametric autofocusing for digital holography. Optica. 2018;5(4):337–44.
doi: 10.1364/OPTICA.5.000337
Wu Y, Rivenson Y, Zhang Y, Wei Z, Günaydin H, Lin X, et al. Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery. Optica. 2018;5(6):704–10.
doi: 10.1364/OPTICA.5.000704
Lee SJ, Yoon GY, Go T. Deep learning-based accurate and rapid tracking of 3D positional information of microparticles using digital holographic microscopy. Exp Fluids. 2019;60:170.
doi: 10.1007/s00348-019-2818-y
Pitkäaho T, Manninen A, Naughton TJ. Focus prediction in digital holographic microscopy using deep convolutional neural networks. Appl Opt. 2019;58(5):A202–8.
pubmed: 30873979 doi: 10.1364/AO.58.00A202
Montoya M, Lopera MJ, Gómez-Ramírez A, Buitrago-Duque C, Pabón-Vidal A, Herrera-Ramirez J, et al. FocusNET: an autofocusing learning-based model for digital lensless holographic microscopy. Opt Lasers Eng. 2023;165:107546.
doi: 10.1016/j.optlaseng.2023.107546
Baek S, Lee S. A new two-frame particle tracking algorithm using match probability. Exp Fluids. 1996;22:23–32.
doi: 10.1007/BF01893303
Crocker JC, Grier DG. Methods of digital video microscopy for colloidal studies. J Colloid Interface Sci. 1996;179(1):298–310.
doi: 10.1006/jcis.1996.0217
Allan DB, Caswell T, Keim N, van der Wel C, Verweij R. Soft-matter/trackpy: v0.6.1. Zenodo; 2023.  https://zenodo.org/records/7670439 .
Hassan Y, Canaan R. Full-field bubbly flow velocity measurements using a multiframe particle tracking technique. Exp Fluids. 1991;12:49–60.
doi: 10.1007/BF00226565
Malik N, Dracos T, Papantoniou D. Particle tracking velocimetry in three-dimensional flows. Exp Fluids. 1993;15:279–94.
doi: 10.1007/BF00223406
Ouellette NT, Xu H, Bodenschatz E. A quantitative study of three-dimensional Lagrangian particle tracking algorithms. Exp Fluids. 2006;40:301–13.
doi: 10.1007/s00348-005-0068-7
Li D, Zhang Y, Sun Y, Yan W. A multi-frame particle tracking algorithm robust against input noise. Meas Sci Technol. 2008;19(10):105401.
doi: 10.1088/0957-0233/19/10/105401
Cierpka C, Lütke B, Kähler CJ. Higher order multi-frame particle tracking velocimetry. Exp Fluids. 2013;54:1533.
doi: 10.1007/s00348-013-1533-3
Labonté G. Neural network reconstruction of fluid flows from tracer-particle displacements. Exp Fluids. 2001;30:399–409.
doi: 10.1007/s003480000217
Mallery K, Shao S, Hong J. Dense particle tracking using a learned predictive model. Exp Fluids. 2020;61:223.
doi: 10.1007/s00348-020-03061-y
Dixon L, Cheong FC, Grier DG. Holographic deconvolution microscopy for high-resolution particle tracking. Opt Express. 2011;19(17):16410–7.
pubmed: 21935004 doi: 10.1364/OE.19.016410
Latychevskaia T, Fink HW. Holographic time-resolved particle tracking by means of three-dimensional volumetric deconvolution. Opt Express. 2014;22(17):20994–1003.
pubmed: 25321300 doi: 10.1364/OE.22.020994
Toloui M, Hong J. High fidelity digital inline holographic method for 3D flow measurements. Opt Express. 2015;23(21):27159–73.
pubmed: 26480377 doi: 10.1364/OE.23.027159
Mallery K, Hong J. Regularized inverse holographic volume reconstruction for 3D particle tracking. Opt Express. 2019;27(13):18069–84.
pubmed: 31252755 doi: 10.1364/OE.27.018069
Chen N, Wang C, Heidrich W. Snapshot space-time holographic 3D particle tracking velocimetry. Laser Photonics Rev. 2021;15(8):2100008.
doi: 10.1002/lpor.202100008
Sun B, Ahmed A, Atkinson C, Soria J. A novel 4D digital holographic PIV/PTV (4D-DHPIV/PTV) methodology using iterative predictive inverse reconstruction. Meas Sci Technol. 2020;31(10):104002.
doi: 10.1088/1361-6501/ab8ee8
Shao S, Mallery K, Kumar SS, Hong J. Machine learning holography for 3D particle field imaging. Opt Express. 2020;28(3):2987–99.
pubmed: 32121975 doi: 10.1364/OE.379480
Wang K, Dou J, Kemao Q, Di J, Zhao J. Y-Net: a one-to-two deep learning framework for digital holographic reconstruction. Opt Lett. 2019;44(19):4765–8.
pubmed: 31568437 doi: 10.1364/OL.44.004765
Yin D, Gu Z, Zhang Y, Gu F, Nie S, Ma J, et al. Digital holographic reconstruction based on deep learning framework with unpaired data. IEEE Photonics J. 2019;12(2):3900312.
Jaferzadeh K, Fevens T. HoloPhaseNet: fully automated deep-learning-based hologram reconstruction using a conditional generative adversarial model. Biomed Opt Express. 2022;13(7):4032–46.
pubmed: 35991913 pmcid: 9352290 doi: 10.1364/BOE.452645
Kiriy SA, Rymov DA, Svistunov AS, Shifrina AV, Starikov RS, Cheremkhin PA. Generative adversarial neural network for 3D-hologram reconstruction. Laser Phys Lett. 2024;21(4):045201.
doi: 10.1088/1612-202X/ad26eb
Chen H, Huang L, Liu T, Ozcan A. Fourier imager network (FIN): a deep neural network for hologram reconstruction with superior external generalization. Light Sci Appl. 2022;11(1):254.
pubmed: 35970839 pmcid: 9378708 doi: 10.1038/s41377-022-00949-8
Huang L, Chen H, Liu T, Ozcan A. Self-supervised learning of hologram reconstruction using physics consistency. Nat Mach Intell. 2023;5:895–907.
doi: 10.1038/s42256-023-00704-7
Sun H, Song B, Dong H, Reid B, Player MA, Watson J, et al. Visualization of fast-moving cells in vivo using digital holographic video microscopy. J Biomed Opt. 2008;13(1):014007.
pubmed: 18315365 doi: 10.1117/1.2841050
Nette F, Guerra de Souza AC, Laskay T, Ohms M, Dömer D, Drömann D, et al. Method for simultaneous tracking of thousands of unlabeled cells within a transparent 3D matrix. PLoS One. 2022;17(6):e0270456.
pubmed: 35749549 pmcid: 9232129 doi: 10.1371/journal.pone.0270456
Choi YS, Lee SJ. Three-dimensional volumetric measurement of red blood cell motion using digital holographic microscopy. Appl Opt. 2009;48(16):2983–90.
pubmed: 19488109 doi: 10.1364/AO.48.002983
Choi YS, Lee SJ. Inertial migration of erythrocytes in low-viscosity and high-shear rate microtube flows: aplication simple digital in-line holographic microscopy. J Biomech. 2012;45(15):2706–9.
pubmed: 22925994 doi: 10.1016/j.jbiomech.2012.08.004
Seo KW, Ha YR, Lee SJ. Vertical focusing and cell ordering in a microchannel via viscoelasticity: applications for cell monitoring using a digital holographic microscopy. Appl Phys Lett. 2014;104(21):213702.
doi: 10.1063/1.4880615
Go T, Byeon H, Lee SJ. Focusing and alignment of erythrocytes in a viscoelastic medium. Sci Rep. 2017;7:41162.
pubmed: 28117428 pmcid: 5259727 doi: 10.1038/srep41162
Byeon H, Go T, Lee SJ. Digital stereo-holographic microscopy for studying three-dimensional particle dynamics. Opt Lasers Eng. 2018;105:6–13.
doi: 10.1016/j.optlaseng.2017.12.008
Kim Y, Kim J, Seo E, Lee SJ. AI-based analysis of 3D position and orientation of red blood cells using a digital in-line holographic microscopy. Biosens Bioelectron. 2023;229:115232.
pubmed: 36963327 doi: 10.1016/j.bios.2023.115232
Su TW, Xue L, Ozcan A. High-throughput lensfree 3D tracking of human sperms reveals rare statistics of helical trajectories. Proc Natl Acad Sci U S A. 2012;109(40):16018–22.
pubmed: 22988076 pmcid: 3479566 doi: 10.1073/pnas.1212506109
Picazo-Bueno JA, Trindade K, Sanz M, Micó V. Design, calibration, and application of a robust, cost-effective, and high-resolution lensless holographic microscope. Sensors. 2022;22(2):553.
pubmed: 35062512 pmcid: 8780948 doi: 10.3390/s22020553
Rogalski M, Picazo-Bueno JA, Winnik J, Zdańkowski P, Micó V, Trusiak M. Accurate automatic object 4D tracking in digital in-line holographic microscopy based on computationally rendered dark fields. Sci Rep. 2022;12:12909.
pubmed: 35902721 pmcid: 9334364 doi: 10.1038/s41598-022-17176-1
Jikeli JF, Alvarez L, Friedrich BM, Wilson LG, Pascal R, Colin R, et al. Sperm navigation along helical paths in 3D chemoattractant landscapes. Nat Commun. 2015;6:7985.
pubmed: 26278469 doi: 10.1038/ncomms8985
Su TW, Choi I, Feng J, Huang K, Ozcan A. High-throughput analysis of horse sperms’ 3D swimming patterns using computational on-chip imaging. Anim Reprod Sci. 2016;169:45–55.
pubmed: 26826909 doi: 10.1016/j.anireprosci.2015.12.012
Gadadhar S, Alvarez Viar G, Hansen JN, Gong A, Kostarev A, Ialy-Radio C, et al. Tubulin glycylation controls axonemal dynein activity, flagellar beat, and male fertility. Science. 2021;371(6525):eabd4914.
pubmed: 33414192 doi: 10.1126/science.abd4914
Vater SM, Weiße S, Maleschlijski S, Lotz C, Koschitzki F, Schwartz T, et al. Swimming behavior of Pseudomonas aeruginosa studied by holographic 3D tracking. PLoS One. 2014;9(1):e87765.
pubmed: 24498187 pmcid: 3909247 doi: 10.1371/journal.pone.0087765
Cheong FC, Wong CC, Gao Y, Nai MH, Cui Y, Park S, et al. Rapid, high-throughput tracking of bacterial motility in 3D via phase-contrast holographic video microscopy. Biophys J. 2015;108(5):1248–56.
pubmed: 25762336 pmcid: 4375448 doi: 10.1016/j.bpj.2015.01.018
Tai CW, Ahmadzadegan A, Ardekani A, Narsimhan V. A forward reconstruction, holographic method to overcome the lens effect during 3D detection of semi-transparent, non-spherical particles. Soft Matter. 2023;19(1):115–27.
doi: 10.1039/D2SM00738J
Wang A, Garmann RF, Manoharan VN. Tracking E. coli runs and tumbles with scattering solutions and digital holographic microscopy. Opt Express. 2016;24(21):23719–25.
pubmed: 27828208 doi: 10.1364/OE.24.023719
Kühn MJ, Schmidt FK, Farthing NE, Rossmann FM, Helm B, Wilson LG, et al. Spatial arrangement of several flagellins within bacterial flagella improves motility in different environments. Nat Commun. 2018;9(1):5369.
pubmed: 30560868 pmcid: 6299084 doi: 10.1038/s41467-018-07802-w
Molaei M, Barry M, Stocker R, Sheng J. Failed escape: solid surfaces prevent tumbling of Escherichia coli. Phys Rev Lett. 2014;113(6):068103.
pubmed: 25148353 doi: 10.1103/PhysRevLett.113.068103
Molaei M, Sheng J. Succeed escape: flow shear promotes tumbling of Escherichia coli near a solid surface. Sci Rep. 2016;6:35290.
pubmed: 27752062 pmcid: 5082759 doi: 10.1038/srep35290
Qi M, Gong X, Wu B, Zhang G. Landing dynamics of swimming bacteria on a polymeric surface: effect of surface properties. Langmuir. 2017;33(14):3525–33.
pubmed: 28298087 doi: 10.1021/acs.langmuir.7b00439
Bianchi S, Saglimbeni F, Di Leonardo R. Holographic imaging reveals the mechanism of wall entrapment in swimming bacteria. Phys Rev X. 2017;7(1):011010.
Qi M, Song Q, Zhao J, Ma C, Zhang G, Gong X. Three-dimensional bacterial behavior near dynamic surfaces formed by degradable polymers. Langmuir. 2017;33(45):13098–104.
pubmed: 29046061 doi: 10.1021/acs.langmuir.7b02806
Peng Q, Zhou X, Wang Z, Xie Q, Ma C, Zhang G, et al. Three-dimensional bacterial motions near a surface investigated by digital holographic microscopy: effect of surface stiffness. Langmuir. 2019;35(37):12257–63.
pubmed: 31423792 doi: 10.1021/acs.langmuir.9b02103
Hook AL, Flewellen JL, Dubern JF, Carabelli AM, Zaid IM, Berry RM, et al. Simultaneous tracking of Pseudomonas aeruginosa motility in liquid and at the solid-liquid interface reveals differential roles for the flagellar stators. mSystems. 2019;4(5):e00390–e419.
pubmed: 31551402 pmcid: 6759568 doi: 10.1128/mSystems.00390-19
Elius M, Boyle K, Chang WS, Moisander PH, Ling H. Comparison of three-dimensional motion of bacteria with and without wall accumulation. Phys Rev E. 2023;108(1):014409.
pubmed: 37583224 doi: 10.1103/PhysRevE.108.014409
He X, Zhang W, Feng P, Mai Z, Gong X, Zhang G. Role of surface coverage of sessile probiotics in their interplay with pathogen bacteria investigated by digital holographic microscopy. Langmuir. 2023;39(48):17308–17.
pubmed: 37974298 doi: 10.1021/acs.langmuir.3c02436
Sohn MH, Seo KW, Choi YS, Lee SJ, Kang YS, Kang YS. Determination of the swimming trajectory and speed of chain-forming dinoflagellate Cochlodinium polykrikoides with digital holographic particle tracking velocimetry. Mar Biol. 2011;158:561–70.
doi: 10.1007/s00227-010-1581-7
Lee SJ, Go T, Byeon H. Three-dimensional swimming motility of microorganism in the near-wall region. Exp Fluids. 2016;57:26.
doi: 10.1007/s00348-016-2113-0
Lewis NI, Xu W, Jericho SK, Kreuzer HJ, Jericho MH, Cembella AD. Swimming speed of three species of Alexandrium (Dinophyceae) as determined by digital in-line holography. Phycologia. 2006;45(1):61–70.
doi: 10.2216/04-59.1
Sheng J, Malkiel E, Katz J, Adolf JE, Place AR. A dinoflagellate exploits toxins to immobilize prey prior to ingestion. Proc Natl Acad Sci U S A. 2010;107(5):2082–7.
pubmed: 20133853 pmcid: 2836682 doi: 10.1073/pnas.0912254107
Sohn MH, Lim S, Seo KW, Lee SJ. Effect of ambient medium viscosity on the motility and flagella motion of Prorocentrum minimum (Dinophyceae). J Plankton Res. 2013;35(6):1294–304.
doi: 10.1093/plankt/fbt071
Dharmawan AB, Mariana S, Scholz G, Hörmann P, Schulze T, Triyana K, et al. Nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy. Sci Rep. 2021;11:3213.
pubmed: 33547342 pmcid: 7865004 doi: 10.1038/s41598-021-81098-7
Xu W, Jericho M, Kreuzer H, Meinertzhagen I. Tracking particles in four dimensions with in-line holographic microscopy. Opt Lett. 2003;28(3):164–6.
pubmed: 12656319 doi: 10.1364/OL.28.000164
Jericho S, Klages P, Nadeau J, Dumas E, Jericho M, Kreuzer H. In-line digital holographic microscopy for terrestrial and exobiological research. Planet Space Sci. 2010;58(4):701–5.
doi: 10.1016/j.pss.2009.07.012
Lee SJ, Byeon HJ, Seo KW. Inertial migration of spherical elastic phytoplankton in pipe flow. Exp Fluids. 2014;55:1742.
doi: 10.1007/s00348-014-1742-4
Chengala A, Hondzo M, Sheng J. Microalga propels along vorticity direction in a shear flow. Phys Rev E. 2013;87(5):052704.
doi: 10.1103/PhysRevE.87.052704
You J, Mallery K, Mashek DG, Sanders M, Hong J, Hondzo M. Microalgal swimming signatures and neutral lipids production across growth phases. Biotechnol Bioeng. 2020;117(4):970–80.
pubmed: 31956983 doi: 10.1002/bit.27271
Heydt M, Rosenhahn A, Grunze M, Pettitt M, Callow M, Callow J. Digital in-line holography as a three-dimensional tool to study motile marine organisms during their exploration of surfaces. J Adhes. 2007;83(5):417–30.
doi: 10.1080/00218460701377388
Heydt M, Divós P, Grunze M, Rosenhahn A. Analysis of holographic microscopy data to quantitatively investigate three-dimensional settlement dynamics of algal zoospores in the vicinity of surfaces. Eur Phys J E. 2009;30:141–8.
pubmed: 19517151 doi: 10.1140/epje/i2009-10459-9
Heydt M, Pettitt M, Cao X, Callow M, Callow J, Grunze M, et al. Settlement behavior of zoospores of Ulva linza during surface selection studied by digital holographic microscopy. Biointerphases. 2012;7:33.
pubmed: 22589076 doi: 10.1007/s13758-012-0033-y
Weiße S, Heddergott N, Heydt M, Pflästerer D, Maier T, Haraszti T, et al. A quantitative 3D motility analysis of Trypanosoma brucei by use of digital in-line holographic microscopy. PLoS One. 2012;7(5):e37296.
pubmed: 22629379 pmcid: 3358310 doi: 10.1371/journal.pone.0037296
Thornton KL, Butler JK, Davis SJ, Baxter BK, Wilson LG. Haloarchaea swim slowly for optimal chemotactic efficiency in low nutrient environments. Nat Commun. 2020;11:4453.
pubmed: 32901025 pmcid: 7478972 doi: 10.1038/s41467-020-18253-7
Findlay RC, Osman M, Spence KA, Kaye PM, Walrad PB, Wilson LG. High-speed, three-dimensional imaging reveals chemotactic behaviour specific to human-infective Leishmania parasites. Elife. 2021;10:e65051.
pubmed: 34180835 pmcid: 8238501 doi: 10.7554/eLife.65051
Pal D, Amyot M, Liang C, Ariya PA. Real-time 4D tracking of airborne virus-laden droplets and aerosols. Commun Eng. 2023;2:41.
pmcid: 10955884 doi: 10.1038/s44172-023-00088-x
Seo S, Su TW, Tseng DK, Erlinger A, Ozcan A. Lensfree holographic imaging for on-chip cytometry and diagnostics. Lab Chip. 2009;9:777–87.
pubmed: 19255659 doi: 10.1039/B813943A
Seo S, Isikman SO, Sencan I, Mudanyali O, Su TW, Bishara W, et al. High-throughput lens-free blood analysis on a chip. Anal Chem. 2010;82(11):4621–7.
pubmed: 20450181 pmcid: 2892055 doi: 10.1021/ac1007915
Vercruysse D, Dusa A, Stahl R, Vanmeerbeeck G, de Wijs K, Liu C, et al. Three-part differential of unlabeled leukocytes with a compact lens-free imaging flow cytometer. Lab Chip. 2015;15:1123–32.
pubmed: 25537881 doi: 10.1039/C4LC01131G
Park JH, Go T, Lee SJ. Label-free sensing and classification of old stored blood. Ann Biomed Eng. 2017;45(11):2563–73.
pubmed: 28822008 doi: 10.1007/s10439-017-1902-9
Singh DK, Ahrens CC, Li W, Vanapalli SA. Label-free fingerprinting of tumor cells in bulk flow using inline digital holographic microscopy. Biomed Opt Express. 2017;8(2):536–54.
pubmed: 28270966 pmcid: 5330580 doi: 10.1364/BOE.8.000536
Buzalewicz I, Kujawińska M, Krauze W, Podbielska H. Novel perspectives on the characterization of species-dependent optical signatures of bacterial colonies by digital holography. PLoS One. 2016;11(3):e0150449.
pubmed: 26943121 pmcid: 4778909 doi: 10.1371/journal.pone.0150449
Song C, Chen Z, Zheng X, Yang S, Duan X, Jiang Y, et al. Growth characteristic analysis of Haematococcus pluvialis in a microfluidic chip using digital in-line holographic flow cytometry. Anal Chem. 2022;94(15):5769–75.
pubmed: 35384647 doi: 10.1021/acs.analchem.1c04732
Go T, Byeon H, Lee SJ. Label-free sensor for automatic identification of erythrocytes using digital in-line holographic microscopy and machine learning. Biosens Bioelectron. 2018;103:12–8.
pubmed: 29277009 doi: 10.1016/j.bios.2017.12.020
Go T, Kim JH, Byeon H, Lee SJ. Machine learning-based in-line holographic sensing of unstained malaria-infected red blood cells. J Biophotonics. 2018;11(9):e201800101.
pubmed: 29676064 doi: 10.1002/jbio.201800101
Li Y, Cornelis B, Dusa A, Vanmeerbeeck G, Vercruysse D, Sohn E, et al. Accurate label-free 3-part leukocyte recognition with single cell lens-free imaging flow cytometry. Comput Biol Med. 2018;96:147–56.
pubmed: 29573668 pmcid: 5933530 doi: 10.1016/j.compbiomed.2018.03.008
Singh DK, Ahrens CC, Li W, Vanapalli SA. Label-free, high-throughput holographic screening and enumeration of tumor cells in blood. Lab Chip. 2017;17(17):2920–32.
pubmed: 28718848 doi: 10.1039/C7LC00149E
Chen D, Wang Z, Chen K, Zeng Q, Wang L, Xu X, et al. Classification of unlabeled cells using lensless digital holographic images and deep neural networks. Quant Imaging Med Surg. 2021;11(9):4137.
pubmed: 34476194 pmcid: 8339649 doi: 10.21037/qims-21-16
Gangadhar A, Sari-Sarraf H, Vanapalli SA. Deep learning assisted holography microscopy for in-flow enumeration of tumor cells in blood. RSC Adv. 2023;13(7):4222–35.
pubmed: 36760296 pmcid: 9892890 doi: 10.1039/D2RA07972K
Feizi A, Zhang Y, Greenbaum A, Guziak A, Luong M, Chan RYL, et al. Rapid, portable and cost-effective yeast cell viability and concentration analysis using lensfree on-chip microscopy and machine learning. Lab Chip. 2016;16(22):4350–8.
pubmed: 27713987 doi: 10.1039/C6LC00976J
Sanborn D, He R, Feng L, Hong J. In situ biological particle analyzer based on digital inline holography. Biotechnol Bioeng. 2023;120(5):1399–410.
pubmed: 36710508 doi: 10.1002/bit.28338
O’Connor T, Rawat S, Markman A, Javidi B. Automatic cell identification and visualization using digital holographic microscopy with head mounted augmented reality devices. Appl Opt. 2018;57(7):B197–204.
pubmed: 29522021 doi: 10.1364/AO.57.00B197
Wang Y, Ju P, Wang S, Su J, Zhai W, Wu C. Identification of living and dead microalgae cells with digital holography and verified in the East China Sea. Mar Pollut Bull. 2021;163:111927.
pubmed: 33352429 doi: 10.1016/j.marpolbul.2020.111927
Terbe D, Orzó L, Zarándy Á. Classification of holograms with 3D-CNN. Sensors. 2022;22(21):8366.
pubmed: 36366064 pmcid: 9654288 doi: 10.3390/s22218366
Park Y, Depeursinge C, Popescu G. Quantitative phase imaging in biomedicine. Nat Photonics. 2018;12:578–89.
doi: 10.1038/s41566-018-0253-x
Cacace T, Bianco V, Ferraro P. Quantitative phase imaging trends in biomedical applications. Opt Lasers Eng. 2020;135:106188.
doi: 10.1016/j.optlaseng.2020.106188
Nguyen TL, Pradeep S, Judson-Torres RL, Reed J, Teitell MA, Zangle TA. Quantitative phase imaging: recent advances and expanding potential in biomedicine. ACS Nano. 2022;16(8):11516–44.
pubmed: 35916417 pmcid: 10112851 doi: 10.1021/acsnano.1c11507
Merola F, Memmolo P, Miccio L, Savoia R, Mugnano M, Fontana A, et al. Tomographic flow cytometry by digital holography. Light Sci Appl. 2017;6(4):e16241.
pubmed: 30167240 pmcid: 6062169 doi: 10.1038/lsa.2016.241
Balasubramani V, Kuś A, Tu HY, Cheng CJ, Baczewska M, Krauze W, et al. Holographic tomography: techniques and biomedical applications. Appl Opt. 2021;60(10):B65–80.
pubmed: 33798138 doi: 10.1364/AO.416902
Donnarumma D, Brodoline A, Alexandre D, Gross M. 4D holographic microscopy of zebrafish larvae microcirculation. Opt Express. 2016;24(23):26887–900.
pubmed: 27857417 doi: 10.1364/OE.24.026887
Brodoline A, Rawat N, Alexandre D, Cubedo N, Gross M. 4D compressive sensing holographic microscopy imaging of small moving objects. Opt Lett. 2019;44(11):2827–30.
doi: 10.1364/OL.44.002827
Brodoline A, Rawat N, Alexandre D, Cubedo N, Gross M. 4D compressive sensing holographic imaging of small moving objects with multiple illuminations. Appl Opt. 2019;58(34):G127–34.
pubmed: 31873493 doi: 10.1364/AO.58.00G127
Dwapanyin GO, Chow DJ, Tan TC, Dubost NS, Morizet JM, Dunning KR, et al. Investigation of refractive index dynamics during in vitro embryo development using off-axis digital holographic microscopy. Biomed Opt Express. 2023;14(7):3327–42.
pubmed: 37497510 pmcid: 10368053 doi: 10.1364/BOE.492292
Li H, Chen X, Chi Z, Mann C, Razi A. Deep DIH: single-shot digital in-line holography reconstruction by deep learning. IEEE Access. 2020;8:202648–59.
doi: 10.1109/ACCESS.2020.3036380
Hao J, Lin X, Lin Y, Song H, Chen R, Chen M, et al. Lensless phase retrieval based on deep learning used in holographic data storage. Opt Lett. 2021;46(17):4168–71.
pubmed: 34469966 doi: 10.1364/OL.433955
Claus D, Iliescu D, Bryanston-Cross P. Quantitative space-bandwidth product analysis in digital holography. Appl Opt. 2011;50(34):H116–27.
pubmed: 22192996 doi: 10.1364/AO.50.00H116
Rubart M. Two-photon microscopy of cells and tissue. Circ Res. 2004;95(12):1154–66.
pubmed: 15591237 doi: 10.1161/01.RES.0000150593.30324.42
Tozer GM, Ameer-Beg SM, Baker J, Barber PR, Hill SA, Hodgkiss RJ, et al. Intravital imaging of tumour vascular networks using multi-photon fluorescence microscopy. Adv Drug Deliv Rev. 2005;57(1):135–52.
pubmed: 15518926 doi: 10.1016/j.addr.2004.07.015
Heintzmann R, Huser T. Super-resolution structured illumination microscopy. Chem Rev. 2017;117(23):13890–908.
pubmed: 29125755 doi: 10.1021/acs.chemrev.7b00218
Olarte OE, Andilla J, Gualda EJ, Loza-Alvarez P. Light-sheet microscopy: a tutorial. Adv Opt Photonics. 2018;10(1):111–79.
doi: 10.1364/AOP.10.000111
Wang Z, Millet L, Mir M, Ding H, Unarunotai S, Rogers J, et al. Spatial light interference microscopy (SLIM). Opt Express. 2011;19(2):1016–26.
pubmed: 21263640 pmcid: 3482902 doi: 10.1364/OE.19.001016
Preza C, Snyder DL, Conchello JA. Theoretical development and experimental evaluation of imaging models for differential-interference-contrast microscopy. JOSA A. 1999;16(9):2185–99.
pubmed: 10474895 doi: 10.1364/JOSAA.16.002185
Bochdansky AB, Jericho MH, Herndl GJ. Development and deployment of a point-source digital inline holographic microscope for the study of plankton and particles to a depth of 6000 m. Methods. 2013;11(1):28–40.
MacNeil L, Desai DK, Costa M, LaRoche J. Combining multi-marker metabarcoding and digital holography to describe eukaryotic plankton across the Newfoundland Shelf. Sci Rep. 2022;12(1):13078.
pubmed: 35906469 pmcid: 9338326 doi: 10.1038/s41598-022-17313-w
Corman R, Boutu W, Campalans A, Radicella P, Duarte J, Kholodtsova M, et al. Lensless microscopy platform for single cell and tissue visualization. Biomed Opt Express. 2020;11(5):2806–17.
pubmed: 32499962 pmcid: 7249812 doi: 10.1364/BOE.380193
Moon I, Javidi B. Three-dimensional identification of stem cells by computational holographic imaging. J R Soc Interface. 2007;4(13):305–13.
pubmed: 17251147 doi: 10.1098/rsif.2006.0175
Delikoyun K, Yaman S, Yilmaz E, Sarigil O, Anil-Inevi M, Telli K, et al. HologLev: a hybrid magnetic levitation platform integrated with lensless holographic microscopy for density-based cell analysis. Acs Sens. 2021;6(6):2191–201.
pubmed: 34124887 doi: 10.1021/acssensors.0c02587
Greenbaum A, Zhang Y, Feizi A, Chung PL, Luo W, Kandukuri SR, et al. Wide-field computational imaging of pathology slides using lens-free on-chip microscopy. Sci Transl Med. 2014;6(267):267ra175.
pubmed: 25520396 doi: 10.1126/scitranslmed.3009850
Rong L, Latychevskaia T, Chen C, Wang D, Yu Z, Zhou X, et al. Terahertz in-line digital holography of human hepatocellular carcinoma tissue. Sci Rep. 2015;5:8445.
pubmed: 25676705 pmcid: 4326957 doi: 10.1038/srep08445
Dubois F, Yourassowsky C, Monnom O, Legros JC, Debeir O, van Ham P, et al. Digital holographic microscopy for the three-dimensional dynamic analysis of in vitro cancer cell migration. J Biomed Opt. 2006;11(5):054032.
pubmed: 17092181 doi: 10.1117/1.2357174

Auteurs

Jihwan Kim (J)

Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, 37673, Republic of Korea.

Sang Joon Lee (SJ)

Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, 37673, Republic of Korea. sjlee@postech.ac.kr.

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