Back to search

Article

NanTex enables computational multiplexing and phenotyping of organelles across super-resolution modalities

2025-09-18

Abstract excerpt

Super-resolution microscopy (SRM) enables nanoscale visualization of cellular organelles but remains constrained by spectral overlap, labeling requirements, and temporal offsets in multicolor imaging. We present NanTex , a deep learning framework that introduces nanotexture as a universal descriptor of subcellular organization and achieves probabilistic demixing of multiple organelles from single-channel SRM imag...

Topics

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

Identifiers and source

Literature Corpus work
fb2920dc-9405-5afa-8212-e117fea9e76a
DOI
10.1101/2025.09.16.676574
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
NanTex enables computational multiplexing and phenotyping of organelles across super-resolution modalitiesDOI 10.1101/2025.09.16.676574
Select a neighboring publication to make it the new centre.