Article

Novel high-content and open-source image analysis tools for profiling mitochondrial morphology in neurological cell models

2024-08-16

Abstract excerpt

Mitochondria undergo dynamic morphological changes depending on cellular cues, stress, genetic factors, or disease. The structural complexity and disease-relevance of mitochondria have stimulated efforts to generate image analysis tools for describing mitochondrial morphology for therapeutic development. Using high-content analysis, we measured multiple morphological parameters and employed unbiased feature cluste...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 25730839-b7a7-52a5-88c9-3c6fcbd2faac
DOI: 10.1101/2024.08.15.607824

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Novel high-content and open-source image analysis tools for profiling mitochondrial morphology in neurological cell modelsDOI 10.1101/2024.08.15.607824Read

Quantitative analysis of mitochondrial morphology and membrane potential in living cells using high-content imaging, machine learning, and morphological binning.Semantic proximity Read

Automated Quantification of Mitochondrial Fragmentation in an In-Vitro Parkinson’s Disease ModelSemantic proximity Read

Image-based deep learning reveals the responses of human motor neurons to stress and ALSSemantic proximity Read

Neurons and astrocytes have distinct organelle signatures and responses to stressSemantic proximity Read

Pathogenic Morphological Signatures of Perturbations in Mitochondrial-Related Genes Revealed by Pooled Imaging AssaySemantic proximity Read

AutoMorFi: Automated Whole-image Morphometry in Fiji/ImageJ for Diverse Analyses and DiscoveriesSemantic proximity Read

Cellular Morphometric Analysis (CellMorph)-a comprehensive imaging-based tool for quantifying cellular phenotype heterogeneity and dynamics across biological processes.Semantic proximity Read

NanTex enables computational multiplexing and phenotyping of organelles across super-resolution modalitiesSemantic proximity Read

MitoCellPhe reveals mitochondrial morphologies in single fibroblasts and clustered stem cells.Semantic proximity Read

Self-supervised deep learning uncovers the semantic landscape of drug-induced latent mitochondrial phenotypesSemantic proximity Read

Universal high-throughput image quantification of subcellular structure dynamics and spatial distributions within cellsSemantic proximity Read

Image-based deep learning reveals the responses of human motor neurons to stress and VCP-related ALS.Semantic proximity Read