Pix2pix training dataset for predicting nuclei form brightfield images ...
Dataset for training pix2pix model to predict nuclei from brightfield images of MDA-MB-231. This dataset contains 1600 brightfield and 1600 nuclei images. The nuclei were labeled using sir-DNA (Cytoskeleton). Cells were imaged live (37 °C, 5% CO2) using a Nikon Eclipse Ti2-E microscope (Nikon) equip...
| Main Authors: | , |
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| Format: | Dataset |
| Language: | unknown |
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Zenodo
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5281/zenodo.10074471 https://zenodo.org/doi/10.5281/zenodo.10074471 |
| Summary: | Dataset for training pix2pix model to predict nuclei from brightfield images of MDA-MB-231. This dataset contains 1600 brightfield and 1600 nuclei images. The nuclei were labeled using sir-DNA (Cytoskeleton). Cells were imaged live (37 °C, 5% CO2) using a Nikon Eclipse Ti2-E microscope (Nikon) equipped with an sCMOS Orca Flash4.0 camera (Hamamatsu) and controlled by the NIS-Elements software (Nikon, v 5.11.01). MDA-MB-231 cells were imaged using a 20× Nikon CFI Plan Apo Lambda objective (NA 0.75), either 1 frame per minute for 2 hours or 1 frame every 5 minutes for 17 hours. In these experiments, a camera binning of 2 × 2 was used. ... |
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