WEAKLY SUPERVISED SEGMENTATION AND CLASSIFICATION OF ALPHA-SYNUCLEIN AGGREGATES IN BRIGHTFIELD MIDBRAIN IMAGES.

Erwan Dereure, Robin Louiset, Laura Parkkinen, David A Menassa, David Holcman

Abstract readPreprint

In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Erwan DereureGroup of Applied Mathematics and Computational Biology, Ecole Normale Supérieure, PSL University, Paris, France.

Robin LouisetAP-HP, Hôpital Henri Mondor-Albert Chenevier, Service de Neurologie, F-94010 Créteil, France.

Laura ParkkinenNuffield Department of Clinical Neurosciences and the Queen's College, University of Oxford, UK.

David A MenassaNuffield Department of Clinical Neurosciences and the Queen's College, University of Oxford, UK.

David HolcmanGroup of Applied Mathematics and Computational Biology, Ecole Normale Supérieure, PSL University, Paris, France.

Funding

Dissecting the Etiology of The Lewy Body DementiasR01NS124848 · NINDS · J. DAVID GLADSTONE INSTITUTES · PI STEVEN M FINKBEINER · 2025 to 2026

$1.6M

NINDS NIH HHS R01 NS124848

6 · The paper itself

Abstract

Parkinson's disease (PD) is a neurodegenerative disorder associated with the accumulation of misfolded alpha-synuclein aggregates, forming Lewy bodies and neuritic shape used for pathology diagnostics. Automatic analysis of immunohistochemistry histopathological images with Deep Learning provides a promising tool for better understanding the spatial organization of these aggregates. In this study, we develop an automated image processing pipeline to segment and classify these aggregates in whole-slide images (WSIs) of midbrain tissue from PD and incidental Lewy Body Disease (iLBD) cases based on weakly supervised segmentation, robust to immunohistochemical labelling variability, with a ResNet50 classifier. Our approach allows to differentiate between major aggregate morphologies, including Lewy bodies and neurites with a balanced accuracy of 80%. This framework paves the way for large-scale characterization of the spatial distribution and heterogeneity of alpha-synuclein aggregates in brightfield immunohistochemical tissue, and for investigating their poorly understood relationships with surrounding cells such as microglia and astrocytes.

Indexed as

Alpha-SynucleinImage processingImage RetrievalParkinson’s diseaseSegmentationShape Classification

Identifiers

PMID41333166

PMCPMC12668033

What OpenQuestion holds

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Registered trials

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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.