High-content live-cell time-lapse imaging predicts cells about to die via apoptosis
Identifier: S-BIAD2515
Published: 2026-01-21 Licence: CC0 Publisher: BioImage Archive
This dataset contains high-content, live-cell, time-lapse imaging of HeLa cells undergoing apoptosis across a 10-point dose response to the apoptosis inducer staurosporine. Using the ChromaLIVE™ Live Cell Painting assay, cells were imaged every 30 minutes over a six-hour period on the Yokogawa CellVoyager CQ1 spinning-disk confocal platform, capturing multiplexed fluorescence signals (Hoechst, ChromaLIVE 488_yellow, ChromaLIVE 488_red, and ChromaLIVE 561) across three z-planes at four fields of view per well. After live imaging, cells were fixed and stained with AnnexinV to provide a single-cell ground-truth readout of apoptosis. The dataset includes raw and illumination-corrected images, cell segmentation masks, single-cell tracking outputs, and extracted morphological features generated using CellProfiler and scDINO deep-learning embeddings. In total, the dataset comprises over 188,000 single-cell observations and 20,677 cell tracks across time, with 2,336 curated morphology features per cell. These measurements quantify the dynamic morphological signatures preceding apoptosis and capture dose- and time-dependent phenotypic trajectories. This resource enables the study of temporal morphology changes, benchmarking of image-based profiling pipelines, development of machine-learning models for early apoptosis prediction, and exploration of dynamic cell-state transitions. It supports future work such as profiling additional forms of regulated cell death and constructing temporal morphology atlases.
Organisms: Homo sapiens