Abstract
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 language | English (US) |
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Pages (from-to) | 1257-1263 |
Number of pages | 7 |
Journal | Biochemical Journal |
Volume | 479 |
Issue number | 11 |
DOIs | |
State | Published - Jun 2022 |
All Science Journal Classification (ASJC) codes
- Molecular Biology
- Biochemistry
- Cell Biology