The goal of this project is to develop a pipeline to analyze timelapse images of live cells undergoing apoptosis. The pipeline will be able to detect cells, track them over time, and classify them as either apoptotic or non-apoptotic. Each dataset or acquisition condidtions of images each contains timelapse images of HeLa cells in a 96-well plate. These cells are treated with varying concentrations of staurosporine, a drug that induces apoptosis.
| Staurosporine concentration (nM) | Number of replicates |
|---|---|
| 0 | 3 |
| 0.61 | 3 |
| 1.22 | 3 |
| 2.44 | 3 |
| 4.88 | 3 |
| 9.77 | 3 |
| 19.53 | 3 |
| 39.06 | 3 |
| 78.13 | 3 |
| 156.25 | 3 |
For 4 channel data we acquired at the following wavelengths:
| Channel | Excitation wavelength (nm) | Emission wavelength (nm) |
|---|---|---|
| Hoecsht | 405 | 447/60 |
| ChromaLive 488 | 488 | 617/73 |
| ChromaLive 488-2 | 488 | 685/40 |
| ChromaLive 561 | 561 | 617/73 |
For 2 channel terminal Annexin V data we acquired at the following wavelengths:
| Channel | Excitation wavelength (nm) | Emission wavelength (nm) |
|---|---|---|
| Hoecsht | 405 | 447/60 |
| Annexin V | 640 | 685/40 |
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