Skip to main content
zenodoopen

Confocal and STED Live F-actin dataset

<p>Paired confocal and STED images of F-actin nanostructures in living neurons using the far-red fluorogenic dye SiR-Actin.&nbsp;This dataset was used to train and test the TA-GAN model for confocal-to-STED super-resolution of axonal and dendritic F-actin in&nbsp;living neurons (<a href="https://doi.org/10.1101/2021.07.19.452964">Resolution Enhancement with a Task-Assisted GAN to Guide Optical Nanoscopy Image Analysis and Acquisition</a>).</p> <p>All images : 20 nm/pixel.</p> <p>Folders:<br> - train : 753 pairs of confocal/STED images (varying sizes)<br> - valid : 47 pairs of confocal/STED images (varying sizes)<br> - test_initial&nbsp;&amp; test_final : 84 confocal/STED pairs acquired before (initial) and 84 acquired after&nbsp;(final) control sequences where 15 confocal images&nbsp;of the full FOV (500 x 500 pixels = 10&mu;m x 10&mu;m) were acquired at 1 frame/minute. In addition to the confocal image, a&nbsp;sub-region (100 x 100 pixels = 2&mu;m x 2&mu;m) was selected outside the central ROI (300 x 300 pixels = 6&mu;m x 6&mu;m)&nbsp;and acquired with the STED modality&nbsp;at every time step; the signal decrease due to photobleaching effects can therefore be more prononced in the border region outside the central ROI.<br> - test_series&nbsp;: contains 149&nbsp;series of images acquired with TA-GAN assistance using the change-based Dice coefficient&nbsp;threshold or&nbsp;the variability-based threshold.&nbsp;</p> <p>The test_series folder contains folders with names corresponding to &quot;[date of acquisition]_cs[coverslip number]_ROI[selected region number]&quot;. Each folder contains three subfolders : input, full_STED, and initial_final_confocal.&nbsp;<br> - Input : this folder&nbsp;contains three-channel images for each of the 15&nbsp;frames in the series. The first channel is the full FOV confocal image&nbsp;(10&mu;m x 10&mu;m), the second channel is the STED sub-region (2&mu;m x 2&mu;m)&nbsp;with zero-padding to match the shape of the FOV, and the third channel is a decision map of 0s and 1s, with the 1s indicating the position in the FOV of the STED sub-region.<br> - full_STED : this folder contains all the STED&nbsp;FOVs (10&mu;m x 10&mu;m)&nbsp;acquired when triggered by the TA-GAN assistance. The number of full_STED FOVs varies from 0 to 15 per region, with a mean of 2.8 STED&nbsp;images per series. The&nbsp;full FOV STED images acquired before (initialSTED.tif) and after (finalSTED.tif) the series of 15 frames are also included.<br> - initial_final_confocal : The&nbsp;full FOV confocal&nbsp;images acquired before (initialConfocal.tif) and after (finalConfocal.tif) the series of 15 frames.</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
8
Engagement
4

Topics