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
  • [1] Label-Free Molecular Imaging of Living Cells
    Fujita, Katsumasa
    Smith, Nicholas Isaac
    MOLECULES AND CELLS, 2008, 26 (06) : 530 - 535
  • [2] Label-free biomedical imaging of hydrodynamics in single human cells
    Fukunaga, Hisanori
    Yoshimura, Hirofumi
    Nishina, Yukio
    Nagashima, Yoji
    Tachibana, Masaru
    BIOMEDICAL RESEARCH-TOKYO, 2010, 31 (03): : 177 - 181
  • [3] Label-free tomographic imaging of nanodiamonds in living cells
    Ikliptikawati, Dini Kurnia
    Hazawa, Masaharu
    So, Frederick T-K
    Terada, Daiki
    Kobayashi, Akiko
    Segawa, Takuya F.
    Shirakawa, Masahiro
    Wong, Richard W.
    DIAMOND AND RELATED MATERIALS, 2021, 118
  • [4] Label-free spectral imaging to study drug distribution and metabolism in single living cells
    Qamar A. Alshammari
    Rajasekharreddy Pala
    Nir Katzir
    Surya M. Nauli
    Scientific Reports, 11
  • [5] Seeing the Unseen in Cell Machinery Single Living Cells by Label-Free Spectroscopic Imaging
    Li, Junjie
    Hu, Chunrui
    Wang, Pu
    Cheng, Ji-Xin
    BIOPHYSICAL JOURNAL, 2013, 104 (02) : 193A - 193A
  • [6] Label-free spectral imaging to study drug distribution and metabolism in single living cells
    Alshammari, Qamar A.
    Pala, Rajasekharreddy
    Katzir, Nir
    Nauli, Surya M.
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [7] Label Free Imaging of Ganglion Cells in the Living Mouse Eye
    Schallek, Jesse B.
    Joseph, Aby
    Guevara-Torres, Andres
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2016, 57 (12)
  • [8] Label-free adaptive optics imaging of single immune cells and vascular response in retinal inflammation
    Joseph, Aby
    Chu, Colin J.
    Feng, Guanping
    Dholakia, Kosha
    Schallek, Jesse B.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2020, 61 (07)
  • [9] Label-free nanoscopy of living cells
    Gary Brooker
    Nature Photonics, 2013, 7 : 91 - 92
  • [10] Label-Free Imaging of Single Proteins Secreted from Living Cells via iSCAT Microscopy
    Gemeinhardt, Andre
    McDonald, Matthew P.
    Koenig, Katharina
    Aigner, Michael
    Mackensen, Andreas
    Sandoghdar, Vahid
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2018, (141):