Digital in-line holographic microscopy for label-free identification and tracking of biological cells.
Artificial intelligence
Cell identification
Cell tracking
Digital in-line holographic microscopy (DIHM)
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
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
38Subventions
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).
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