Pix2pix training dataset for predicting nuclei form brightfield images

Pix2pix training dataset for predicting nuclei form brightfield images

Description

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.
Show more

Year of publication

2023

Authors

Zenodo - Publisher

Guillaume Jacquemet Orcid -palvelun logo - Creator

Joanna W. Pylvänäinen Orcid -palvelun logo - Creator

Other information

Fields of science

Biochemistry, cell and molecular biology

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)