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Machine learning–based image analysis of Parkinson’s disease iPS cell-derived neurons predicts genotype and reveals mitochondria–lysosome abnormalities

2026-01-29

Abstract excerpt

Mitochondrial and lysosomal dysfunction are central features of Parkinson’s disease (PD) across major genetic forms including PRKN , SNCA , and LRRK2 . We applied cell morphomics, a machine-learning-based framework combining high-content imaging with quantitative feature extraction, to analyse mitochondrial and lysosomal morphology at single-cell resolution in iPS cell-derived cortical neurons from PD patients...

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Literature Corpus work
52975ffe-a507-5a1a-8a90-34311426560a
DOI
10.64898/2026.01.28.702423
Open publication

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Machine learning–based image analysis of Parkinson’s disease iPS cell-derived neurons predicts genotype and reveals mitochondria–lysosome abnormalitiesDOI 10.64898/2026.01.28.702423
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