Towards 'end-to-end' analysis and understanding of biological timecourse data

Siddhartha G. Jena, Alexander G. Goglia, Barbara E. Engelhardt

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Petabytes of increasingly complex and multidimensional live cell and tissue imaging data are generated every year. These videos hold large promise for understanding biology at a deep and fundamental level, as they capture single-cell and multicellular events occurring over time and space. However, the current modalities for analysis and mining of these data are scattered and user-specific, preventing more unified analyses from being performed over different datasets and obscuring possible scientific insights. Here, we propose a unified pipeline for storage, segmentation, analysis, and statistical parametrization of live cell imaging datasets.

Original languageEnglish (US)
Pages (from-to)1257-1263
Number of pages7
JournalBiochemical Journal
Issue number11
StatePublished - Jun 2022

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Biochemistry
  • Cell Biology


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