University of Notre Dame
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Super-resolution (SR) Fluorescence Microscopy dataset

dataset
posted on 2021-02-09, 00:00 authored by Varun MannamVarun Mannam
We created a small dataset - the diffraction limited to super-resolution (DL2SR) dataset - that is dedicated to estimate the super-resolution intensity from a diffracton limited fluorescence microscopy intensity images. The dataset consists of training and testing parts. 15 FOV's of BPAE cells fluorescence microscopy intensity images obtained with custom-built two-photon microscope. We use 1 FOV DL images for testing. These images are captured with excitation wavelength of 800 nm and power levels 6 mW. Each FOV contains 50 images of different noise realizations. Hence training dataset: 15 FOV's -> 750 images and testing dataset: 1 FOV -> 50 images Target images are geenrated using SRRF method using ImageJ plugin.

History

Date Modified

2021-11-05

Language

  • English

Publisher

Notre Dame

Contributor

Varun Mannam

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    Electrical Engineering

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