Label-Free Imaging of Inflammation at the Level of Single Cells in the Living Human Eye

被引:7
|
作者
Rui, Yuhua [1 ,2 ]
Zhang, Min [1 ]
Lee, Daniel M. W. [3 ]
Snyder, Valerie C. [1 ]
Raghuraman, Rashmi [1 ]
Gofas-Salas, Elena [4 ,5 ]
Mece, Pedro [6 ]
Yadav, Sanya [7 ]
Tiruveedhula, Pavan [8 ]
Grieve, Kate [4 ,5 ]
Sahel, Jose-Alain [1 ]
Errera, Marie-Helene [1 ]
Rossi, Ethan A. [1 ,3 ,9 ,10 ]
机构
[1] Univ Pittsburgh, Dept Ophthalmol, Sch Med Pittsburgh, Pittsburgh, PA USA
[2] Cent South Univ, Xiangya Hosp, Eye Ctr, Hunan Key Lab Ophthalmol Changsha, Changsha, Hunan, Peoples R China
[3] Univ Pittsburgh, Dept Bioengn, Swanson Sch Engn, Pittsburgh, PA USA
[4] Sorbonne Univ, Inst Vis, INSERM, CNRS, Paris, France
[5] CHNO Quinze Vingts, INSERM DGOS CIC 1423, Paris, France
[6] Univ PSL, Inst Langevin, ESPCI Paris, CNRS, Paris, France
[7] Univ Pittsburgh, Sch Med, Dept Ophthalmol, Pittsburgh, PA USA
[8] Univ Calif Berkeley, Sch Optometry, Berkeley, CA USA
[9] McGowan Inst Regenerat Med, Pittsburgh, PA USA
[10] Univ Pittsburgh, UPMC Vis Inst Mercy Pavil, Sch Med, Dept Ophthalmol, 1622 Locust St,Room 8-396, Pittsburgh, PA 15219 USA
来源
OPHTHALMOLOGY SCIENCE | 2024年 / 4卷 / 05期
关键词
RETINAL MICROGLIA; CONTRAST; MAINTENANCE; NEURONS; MARKERS; OCT;
D O I
10.1016/j.xops.2024.100475
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Purpose: Putative microglia were recently detected using adaptive optics ophthalmoscopy in healthy eyes. Here we evaluate the use of nonconfocal adaptive optics scanning light ophthalmoscopy (AOSLO) for quantifying the morphology and motility of presumed microglia and other immune cells in eyes with retinal inflammation from uveitis and healthy eyes. Design: Observational exploratory study. Participants: Twelve participants were imaged, including 8 healthy participants and 4 posterior uveitis patients recruited from the clinic of 1 of the authors (M.H.E.). Methods: The Pittsburgh AOSLO imaging system was used with a custom -designed 7 -fiber optical fiber bundle for simultaneous confocal and nonconfocal multioffset detection. The inner retina was imaged at several locations at multiple timepoints in healthy participants and uveitis patients to generate time-lapse images. Main Outcome Measures: Microglia and macrophages were manually segmented from nonconfocal AOSLO images, and their morphological characteristics quantified (including soma size, diameter, and circularity). Cell soma motion was quantified across time for periods of up to 30 minutes and their speeds were calculated by measuring their displacement over time. \ Results: A spectrum of cell morphologies was detected in healthy eyes from circular amoeboid cells to elongated cells with visible processes, resembling activated and ramified microglia, respectively. Average soma diameter was 16.1 +/- 0.9 gm. Cell movement was slow in healthy eyes (0.02 gm/sec on average), but macrophage -like cells moved rapidly in some uveitis patients (up to 3 gm/sec). In an eye with infectious uveitis, many macrophage -like cells were detected; during treatment their quantity and motility decreased as vision improved. Conclusions: In vivo adaptive optics ophthalmoscopy offers promise as a potentially powerful tool for detecting and monitoring inflammation and response to treatment at a cellular level in the living eye. Financial Disclosure(s): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article. Ophthalmology Science 2024;4:100475 (c) 2024 by the American Academy of Ophthalmology. This is an open access article under the CC BY -NC -ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Label-free measuring and mapping of binding kinetics of membrane proteins in single living cells
    Wang, Wei
    Yang, Yunze
    Wang, Shaopeng
    Nagaraj, Vinay J.
    Liu, Qiang
    Wu, Jie
    Tao, Nongjian
    NATURE CHEMISTRY, 2012, 4 (10) : 846 - 853
  • [32] Label-Free Optical Imaging of Nanoscale Single Entities
    Zhou, Xinyu
    Chieng, Andy
    Wang, Shaopeng
    ACS SENSORS, 2024, 9 (02) : 543 - 554
  • [33] Rapid and Label-Free Classification of Human Glioma Cells by Infrared Spectroscopic Imaging
    Steiner, Gerald
    Kuechler, Saskia
    Hermann, Andreas
    Koch, Edmund
    Salzer, Reiner
    Schackert, Gabriele
    Kirsch, Matthias
    CYTOMETRY PART A, 2008, 73A (12) : 1158 - 1164
  • [34] Label-Free Ratiometric Imaging of Serotonin in Live Cells
    Das, Anand Kant
    Maity, Barun Kumar
    Surendran, Dayana
    Tripathy, Umakanta
    Maiti, Sudipta
    ACS CHEMICAL NEUROSCIENCE, 2017, 8 (11): : 2369 - 2373
  • [35] Label-free Imaging of Human Heart by Raman Microspectroscopy
    Yamamoto, Tsunehisa
    Harada, Yoshinori
    Minamikawa, Takeo
    Yamaoka, Sadahisa
    Yaku, Hitoshi
    Takamatsu, Tetsuro
    CIRCULATION, 2013, 128 (22)
  • [36] The label-free Raman imaging of human breast cancer
    Abramczyk, Halina
    Brozek-Pluska, Beata
    Surmacki, Jakub
    Jablonska, Joanna
    Kordek, Radzislaw
    JOURNAL OF MOLECULAR LIQUIDS, 2011, 164 (1-2) : 123 - 131
  • [37] Label-Free Optical Metabolic Imaging in Cells and Tissues
    Georgakoudi, Irene
    Quinn, Kyle P.
    ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, 2023, 25 : 413 - 443
  • [38] Label-free quantitative imaging of conjunctival goblet cells
    Park, Noseong
    Jeon, Suil
    Kim, Seonghan
    Lee, Jungbin
    Ryu, Jin Suk
    Choi, Wan Jae
    Yoon, Chang Ho
    Joo, Chulmin
    Kim, Ki Hean
    OCULAR SURFACE, 2025, 36 : 156 - 163
  • [39] Label-free optical imaging of mitochondria in live cells
    Lasne, David
    Blab, Gerhard. A.
    De Giorgi, Francesca
    Ichas, Francois
    Lounis, Brahim
    Cognet, Laurent
    OPTICS EXPRESS, 2007, 15 (21) : 14184 - 14193
  • [40] Direct high-resolution label-free imaging of cellular nanostructure dynamics in living cells
    Heo, Chaejeong
    Lee, Sohee
    Lee, Si Young
    Jeong, Mun Seok
    Lee, Young Hee
    Suh, Minah
    JOURNAL OF BIOMEDICAL OPTICS, 2013, 18 (06)