Cell lineage classification

Keywords: cell classification, cell lineage, C. Elegans
Project partners: Prof. Dr. Susan Mango, Ahilya Nirvana Sawh
CeDA collaborators: Konstantinos Ntemos, Geoffrey Fucile, Ivan Dokmanić
Repository: cell-lineage

Context

Identifying cells in a cell lineage is a tedious task performed, which is usually by human by utilizing reference maps of the known cell positions as well as temporal information (i.e., marking and tracking cells' divisions and movements over time in the embryo). In this project, we aim at automating the cell labeling process by using static images of the embryo cells. More specifically, we develop a technique that takes as input images of embryos of C. elegans and outputs the cell labels.

Project objectives

The aim of this collaboration is to devise an algorithm that given an image of embryo cells, it performs the cell labeling.

Outcomes

Papers (see the Publications page for more details):

  • "Rapid canalization of chromosome conformation-transcription fingerprints during embryogenesis revealed by fully-automated cell identity decoding with CeSCALE." In: bioRxiv doi:10.1101/2025.10.22.684035