Published September 1, 2019 | Version v1
Dataset Open

Temporal super-resolution microscopy using a hue-encoded shutter

  • 1. Idiap Research Institute, EPFL
  • 2. Institut de Recherche en Ophtalmologie
  • 3. Idiap Research Institute, UCSB

Description

This dataset contains the data to reproduce the figures in our paper called "Temporal super-resolution microscopy using a hue-encoded shutter", Biomedical Optics Express, 2019.

Together with the data, the code is available on Idiap's GitHub page.

Files

figure3_both_papers_white_light.png

Files (329.4 MB)

Name Size Download all
md5:b441e1b9fd9bf09590571024c7c4fb4c
2.4 MB Download
md5:e1974223b822acf6a19a00d82ce56308
37.2 MB Download
md5:5b86df053e7e33262e66447850cce530
36.0 MB Download
md5:acc8f4a8d2398b93166972ff9650223f
1.8 MB Preview Download
md5:cdfca291a5ae0060019979b034c21683
54.0 MB Download
md5:b30b43722164adc7cd85e5ceb00a69e3
54.0 MB Download
md5:1803285b2fc32aa0cdddd3ff1ac3ecaa
18.0 MB Download
md5:f89c5ce954188b25fce99df364ad71e0
18.0 MB Download
md5:d7e68ad9c4f47dcd14b9b6fce81da302
54.0 MB Download
md5:0d3cc42761c4d4c652cd4dfa6bb58669
54.0 MB Download
md5:f3de40d07113f27ad72eece17cd2ce05
1.7 kB Preview Download

Additional details

Funding

Platform for Reproducible Acquisition, Processing, and Sharing of Dynamic, Multi-Modal Data 206021_164022
Swiss National Science Foundation
Computational biomicroscopy: advanced image processing methods to quantify live biological systems 200020_179217
Swiss National Science Foundation
Computational Methods for Temporal Super-resolution Microscopy 200021_159227
Swiss National Science Foundation