Two-color fluorescence scanning laser ophthalmoscopy for <i>in vivo</i> mouse retinal ganglion cell imaging at the single-cell level
Fluorescence scanning laser ophthalmoscopy (SLO) provides high-resolution <i>en face</i> imaging of the retina to investigate retinal ganglion cells (RGCs) in both small animals and humans. Multicolor fluorescence SLO can further extend the anatomical and functional imaging capabilities; however, its <i>in vivo</i> implementation remains challenging due to optical aberrations, limited labeling strategies, and the need for multichannel calibration. In this study, we present a compact two-color fluorescence SLO system designed with registered field-of-views (FOVs) between the two color channels for <i>in vivo</i> imaging of RGCs at single-cell resolution in mice. Using an Eno2-YFP transgenic mouse model with dextran labeling of the RGCs, we demonstrate high-quality two-color imaging across a 1.2×1.2<i>m</i><i>m</i><sup>2</sup> FOV. Furthermore, by employing adeno-associated virus (AAV)-mediated co-labeling of RGCs and mitochondria, we achieved high-resolution visualization and image overlay with precise two-channel registration. The two-color fluorescence SLO system holds promise for longitudinal studies of RGCs, with applications in neurodegeneration, glaucoma, and therapeutic development.
Authors
- Liang Li (ORCID: https://orcid.org/0000-0002-1290-108X)
- Roman V. Kuranov (ORCID: https://orcid.org/0000-0002-9668-2960)
- Cheng Sun (ORCID: https://orcid.org/0000-0002-2744-0896)
- Weijia Fan (ORCID: https://orcid.org/0000-0002-0803-4972)
- Yang Hu (ORCID: https://orcid.org/0000-0003-1947-1649)
- Ming Yang (ORCID: https://orcid.org/0000-0002-2954-7435)
- Hao Zhang (ORCID: https://orcid.org/0000-0002-8472-6137)
- Tianyu Xu (ORCID: https://orcid.org/0000-0002-2929-6760)
Institutions
- Smith-Kettlewell Eye Research Institute (US)
Publication Details
- Journal
- Applied Optics
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1364/ao.578128
- Primary Topic
- Advanced Fluorescence Microscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00