A computational pipeline for image-based statistical analysis of biomolecular condensates dynamics using morphological descriptors

A computational pipeline for image-based statistical analysis of biomolecular condensates dynamics using morphological descriptors

Abstract Biomolecular condensation has been extensively studied recently, yet advanced analytical methods for characterizing phase-separated systems remain limited. We developed a Python-based computational pipeline compatible with desktops and HPC systems that quantifies morphological heterogeneity...

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Bibliographic Details
Main Authors: Ivan Rosa e Silva, Guilherme Gurian Dariani, Felipe Zanghelini Benevenutti, Renata Rocha de Oliveira, Vitória Yumi Uetuki Nicoleti, Murilo de Carvalho
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Liquid-liquid phase separation (LLPS)
Python workflow
Morphological analysis
Fluorescence microscopy
DDX3X
Online Access:https://doi.org/10.1038/s41598-025-09148-y
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https://doi.org/10.1038/s41598-025-09148-y

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