Back to search

Article

Generative machine learning unlocks the first proteome-wide image of human cells

2026-04-02

Abstract excerpt

The spatial organization of proteins within cells governs virtually all cellular functions. Yet, current imaging technologies can simultaneously visualize only tens of proteins, orders of magnitude below the thousands that populate a single human cell. Here, we present ProtiCelli , a deep generative model that simulates microscopy images for 12,800 human proteins from just three cellular landmark stains. Trained...

Topics

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

Identifiers and source

Literature Corpus work
95ed3a37-d2bb-58b0-b64a-382650e2c0a5
DOI
10.64898/2026.03.31.715748
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.
Generative machine learning unlocks the first proteome-wide image of human cellsDOI 10.64898/2026.03.31.715748
Select a neighboring publication to make it the new centre.