Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp019880vt87x
Title: | Fluorescence Reconstruction Microscopy Data: MDCK (20x) DIC to Nuclei (DAPI) and E-Cadherin (RFP) |
Contributors: | LaChance, Julienne Cohen, Daniel |
Keywords: | machine learning training fluorescence reconstruction microscopy FRM |
Issue Date: | 24-Feb-2020 |
Publisher: | Princeton University |
Abstract: | The data provided in this DataSpace consists of sample training data to be used for Fluorescence Reconstruction Microscopy (FRM) testing. We provide a subset of the MDCK (20x magnification) dataset used in our paper, in which interested parties may find more complete information about our data collection methods. Matched pairs of DIC and fluorescent images are given. The cells stably expressed E-cadherin:RFP which enabled imaging of junctional fluorescence, while the nuclei were stained using Hoechst 33342 and imaged using a standard DAPI filter set. |
URI: | http://arks.princeton.edu/ark:/88435/dsp019880vt87x https://doi.org/10.34770/jgvp-c928 |
Appears in Collections: | MAE Research Data Sets |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FRM_Dataset_README.txt | 926 B | Text | View/Download | |
Training_Data_MDCK_20x.zip | 242.98 MB | Unknown | View/Download |
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