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 |
Published: |
Zenodo
2023
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.10074470 https://zenodo.org/doi/10.5281/zenodo.10074470 |
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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