ArticleScientific reports2021
A novel retinal ganglion cell quantification tool based on deep learning.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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
46 citing papers in PubMed, 60 citations in OpenAlex.
- Mouse predation is dependent on a population of POU6F2-positive retinal ganglion cells.iScience · 2026Article
- 3'UTR regulation of axon translation and optic nerve regeneration.Molecular neurodegeneration · 2026Article
- Retinal Ganglion Cell Degeneration in Glaucoma: Systematic Review.Bioengineering (Basel, Switzerland) · 2026Review
- RetinaDetachNet: Automated Deep Learning Quantification of Photoreceptor Cell Death for Neuroprotection Studies in Experimental Retinal Detachment.Translational vision science & technology · 2026Article
- The mitochondria-targeted peptide HDAP2 reduces mitochondrial loss and retinal ganglion cell degeneration after optic nerve injury.Neuroscience · 2026Article
- AxoMetric platform facilitates rapid and unbiased automated quantification of axon regeneration in tissue sections.Cell reports methods · 2026Article
- Development of an AAV-based gene therapy for the ocular phenotype of Friedreich's ataxia.Molecular therapy : the journal of the American Society of Gene Therapy · 2026Article
- Soluble guanylate cyclase deficiency drives retinal ganglion cell neurodegeneration with age in female mice through disrupted oxidative metabolism.Scientific reports · 2026Article
- Analysis of retinal ganglion cell subtypes across six different inbred mouse strains.Molecular vision · 2026Article
- Fibrotic scarring prevents optic nerve regeneration despite preserved axonal growth potential in adult killifish.Frontiers in neuroscience · 2026Article
- Selective Receptor Modulation by Truncated Neuropeptide Y (3-36) Dissociates Vasoconstriction from Neuroprotection in Experimental Glaucoma.Molecular neurobiology · 2025Article
- Mitochondrial-Targeted HDAP2 Preserves Retinal Ganglion Cells and Increases Pressure Tolerance in DBA/2J Mice.Investigative ophthalmology & visual science · 2025Article
- Optic nerve injury impairs intrinsic mechanisms underlying electrical activity in a resilient retinal ganglion cell.The Journal of physiology · 2025Article
- Mitochondrial-Targeted HDAP2 Preserves Retinal Ganglion Cells and Increases Pressure Tolerance in DBA/2J Mice.bioRxiv : the preprint server for biology · 2025Article
- Successful axonal regeneration is associated with intraneuronal metabolic reprogramming.iScience · 2025Article
- ENO1 Dysfunction-Mediated Glycolytic Attenuation Exacerbates Oxidative Stress-Induced Retinal Ganglion Cell Death via Altered ATP Synthesis Pathway.Investigative ophthalmology & visual science · 2025Article
- Article
- Genetic risk factors associated with ocular perfusion pressure in primary open-angle glaucoma.Human genomics · 2025Article
- Optic Nerve Crush Does Not Induce Retinal Ganglion Cell Loss in the Contralateral Eye.Investigative ophthalmology & visual science · 2025Article
- Optineurin-facilitated axonal mitochondria delivery promotes neuroprotection and axon regeneration.Nature communications · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glaucoma is a disease associated with the loss of retinal ganglion cells (RGCs), and remains one of the primary causes of blindness worldwide. Major research efforts are presently directed towards the understanding of disease pathogenesis and the development of new therapies, with the help of rodent models as an important preclinical research tool. The ultimate goal is reaching neuroprotection of the RGCs, which requires a tool to reliably quantify RGC survival. Hence, we demonstrate a novel deep learning pipeline that enables fully automated RGC quantification in the entire murine retina. This software, called RGCode (Retinal Ganglion Cell quantification based On DEep learning), provides a user-friendly interface that requires the input of RBPMS-immunostained flatmounts and returns the total RGC count, retinal area and density, together with output images showing the computed counts and isodensity maps. The counting model was trained on RBPMS-stained healthy and glaucomatous retinas, obtained from mice subjected to microbead-induced ocular hypertension and optic nerve crush injury paradigms. RGCode demonstrates excellent performance in RGC quantification as compared to manual counts. Furthermore, we convincingly show that RGCode has potential for wider application, by retraining the model with a minimal set of training data to count FluoroGold-traced RGCs.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.