Label-free imaging of immune cell dynamics in the living retina using adaptive optics.


Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
14 10 2020
Historique:
received: 07 07 2020
accepted: 15 09 2020
entrez: 14 10 2020
pubmed: 15 10 2020
medline: 20 2 2021
Statut: epublish

Résumé

Our recent work characterized the movement of single blood cells within the retinal vasculature (Joseph et al. 2019) using adaptive optics ophthalmoscopy. Here, we apply this technique to the context of acute inflammation and discover both infiltrating and tissue-resident immune cells to be visible without any labeling in the living mouse retina using near-infrared light alone. Intravital imaging of immune cells can be negatively impacted by surgical manipulation, exogenous dyes, transgenic manipulation and phototoxicity. These confounds are now overcome, using phase contrast and time-lapse videography to reveal the dynamic behavior of myeloid cells as they interact, extravasate and survey the mouse retina. Cellular motility and differential vascular responses were measured noninvasively and in vivo across hours to months at the same retinal location, from initiation to the resolution of inflammation. As comparable systems are already available for clinical research, this approach could be readily translated to human application.

Identifiants

pubmed: 33052099
doi: 10.7554/eLife.60547
pii: 60547
pmc: PMC7556865
doi:
pii:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NEI NIH HHS
ID : R01 EY028293
Pays : United States
Organisme : NIH HHS
ID : P30 EY001319
Pays : United States
Organisme : NIH HHS
ID : R01 EY028293
Pays : United States

Informations de copyright

© 2020, Joseph et al.

Déclaration de conflit d'intérêts

AJ Received funding support from Hoffman-La Roche Inc Hold patents and/or patent applications on adaptive optics technology filed through the University of Rochester. US Patent Application Number: US20190114790A1, "Rapid assessment and visual reporting of local particle velocity". CC No competing interests declared, GF, KD Received funding support from Hoffman-La Roche Inc, JS Received funding support from Hoffman-La Roche Inc Hold patents and/or patent applications on adaptive optics technology filed through the University of Rochester. US Patent #9,844,320 Issued: 12/19/2017, "System and Method for Observing an Object in a Blood Vessel". US Patent Application Number: US20190114790A1, "Rapid assessment and visual reporting of local particle velocity".

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Auteurs

Aby Joseph (A)

The Institute of Optics, University of Rochester, Rochester, United States.

Colin J Chu (CJ)

Translational Health Sciences, University of Bristol, Bristol, United Kingdom.

Guanping Feng (G)

Department of Biomedical Engineering, University of Rochester, Rochester, United States.

Kosha Dholakia (K)

Flaum Eye Institute, University of Rochester, Rochester, United States.

Jesse Schallek (J)

Flaum Eye Institute, University of Rochester, Rochester, United States.
Department of Neuroscience and the Del Monte Institute for Neuroscience, University of Rochester, Rochester, United States.
Center for Visual Science, University of Rochester, Rochester, United States.

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Classifications MeSH