This study uses in vivo two-photon calcium imaging in the visual cortex of mice to demonstrate that encoding of learned environmental visual cues is flexibly represented across different task contexts.
This dataset is comprised of in vivo two-photon calcium imaging from visual cortex of mice during learning and performance of a visual discrimination task. data was acquired suing Scanbox and analysis performed in Matlab and Python.
These are datasets released from our manuscript "A Comparison of Lossless Compression Methods in Microscopy Data Storage Applications".
Included in this data release are: `noise16.tif`: a file containing background noise collected from a 1000-frame acquisition of a ORCA-Fusion camera; `noise8.tif`: a file containing the 16-bit data collective above converted into a 8-bit form; `brainbow.tif`: This is a mouse Brainbow image originally published and described in Roossien, et al. Bioinformatics 2019; `bead.tif`: This is a 3D image of 100nm Invitrogen TetraSpeck fluorescent microspheres imaged in a blue channel using a custom microscope; `fly.tif`: This is a 3D image of a fly Bitbow brain collected as described in Li, et al. Front. Neural Circuits 2021; and `neurite.tif`: This is a 3D image of DiD-labeled mouse V1 tissue, collected using a custom microscope.
