ReviewMed-X2025
Optical strategies for in vivo retinal ganglion cell imaging.
Review in Med-X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- The Eye and the Brain: Photonic Devices in Neuro-Ophthalmology.Diseases (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Retinal ganglion cells (RGCs) are essential in transmitting visual information from the retina to the brain, and their impairment has been linked to glaucoma and various neuro-ophthalmic diseases. In vivo imaging of RGC morphology and functionality is crucial for understanding the pathophysiology of retinal disease caused by RGC degeneration and their responses to treatments. This review provides a comprehensive overview of optical technologies suitable for in vivo RGC imaging. First, we compare scanning laser ophthalmoscopy, optical coherence tomography, and two-photon imaging and discuss their effectiveness in quantifying RGC damage in retinal disorders. Then, we discuss how functional vascular imaging techniques and specialized fluorophores, such as capQ and GCaMP, can be exploited to provide deeper insights into the physiology of RGCs. Lastly, we highlight the clinical translation of these imaging modalities, emphasizing handheld devices and clinical workflows to improve the image acquisition process. We also highlight the emerging role of machine learning, which automates tasks such as segmentation and disease classification to improve the efficiency of large data analysis. Graphical Abstract:
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.