ArticleTranslational vision science & technology2020
Predicting Thioflavin Fluorescence of Retinal Amyloid Deposits Associated With Alzheimer's Disease from Their Polarimetric Properties.
Article in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 32 citations in OpenAlex.
- Discerning Amyloid‑β and Tau Pathologies with Learning-Based Quantum Sensing.ACS photonics · 2025Article
- Quantitative diagnosis of amyloid without Congo red staining using polarized light microscopy.Biomedical optics express · 2025Article
- Alzheimer's disease neuropathology and its estimation with fluid and imaging biomarkers.Molecular neurodegeneration · 2025Review
- Retinal ganglion cell vulnerability to pathogenic tau in Alzheimer's disease.Acta neuropathologica communications · 2025Article
- Value proposition of retinal imaging in Alzheimer's disease screening: A review of eight evolving trends.Progress in retinal and eye research · 2024Review
- Hyperspectral retinal imaging in Alzheimer's disease and age-related macular degeneration: a review.Acta neuropathologica communications · 2024Review
- Retinal ganglion cell vulnerability to pathogenic tau in Alzheimer's disease.bioRxiv : the preprint server for biology · 2024Article
- Identification of retinal oligomeric, citrullinated, and other tau isoforms in early and advanced AD and relations to disease status.Acta neuropathologica · 2024Article
- Alzheimer's disease pathophysiology in the Retina.Progress in retinal and eye research · 2024Review
- Clearance of interstitial fluid (ISF) and CSF (CLIC) group-part of Vascular Professional Interest Area (PIA), updates in 2022-2023. Cerebrovascular disease and the failure of elimination of Amyloid-β from the brain and retina with age and Alzheimer's disease: Opportunities for therapy.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Retina pathology as a target for biomarkers for Alzheimer's disease: Current status, ophthalmopathological background, challenges, and future directions.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Retinal pathological features and proteome signatures of Alzheimer's disease.Acta neuropathologica · 2023Article
- Decoherence of photon entanglement by transmission through brain tissue with Alzheimer's disease.Biomedical optics express · 2022Article
- Regulating microglial miR-155 transcriptional phenotype alleviates Alzheimer's-induced retinal vasculopathy by limiting Clec7a/Galectin-3Acta neuropathologica communications · 2022Article
- Label-free hyperspectral imaging and deep-learning prediction of retinal amyloid β-protein and phosphorylated tau.PNAS nexus · 2022Article
- Color and contrast vision in mouse models of aging and Alzheimer's disease using a novel visual-stimuli four-arm maze.Scientific reports · 2021Article
- Detection of retinal and blood Aβ oligomers with nanobodies.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021Article
- Retinal Vasculopathy in Alzheimer's Disease.Frontiers in neuroscience · 2021Review
- Relationships between longitudinal retinal amyloid imaging and amyloid PET in the A4 Trial.Alzheimer's & dementia (Amsterdam, Netherlands)Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Purpose: To use machine learning in those with brain amyloid to predict thioflavin fluorescence (indicative of amyloid) of retinal deposits from their interactions with polarized light. Methods: We imaged 933 retinal deposits in 28 subjects with post mortem evidence of brain amyloid using thioflavin fluorescence and polarization sensitive microscopy. Means and standard deviations of 14 polarimetric properties were input to machine learning algorithms. Two oversampling strategies were applied to overcome data imbalance. Three machine learning algorithms: linear discriminant analysis, supporting vector machine, and random forest (RF) were trained to predict thioflavin positive deposits. For each method; accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve were computed. Results: For the polarimetric positive deposits, using 1 oversampling method, RF had the highest area under the receiver operating characteristic curve (0.986), which was not different from that with the second oversampling method. RF had 95% accuracy, 94% sensitivity, and 97% specificity. After including deposits with no polarimetric signals, polarimetry correctly predicted 93% of thioflavin positive deposits. Linear retardance and linear anisotropy were the dominant polarimetric properties in RF with 1 oversampling method, and no polarimetric properties were dominant in the second method. Conclusions: Thioflavin positivity of retinal amyloid deposits can be predicted from their images in polarized light. Polarimetry is a promising dye-free method of detecting amyloid deposits in Translational Relevance: This dye-free method distinguishes retinal amyloid deposits, a promising biomarker of Alzheimer's disease, in human retinas imaged with polarimetry.
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