Work Description

Title: Data from "A Comparison of Lossless Compression Methods in Microscopy Data Storage Applications" Open Access Deposited

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Attribute Value
Methodology
  • These are microscopy images collected using protocols described in "A Comparison of Lossless Compression Methods in Microscopy Data Storage Applications." The noise, bead, and neurite images were captured using a line confocal microscopy system using a ORCA-Fusion camera at 70Hz, producing 2304x2304 pixel frames. Each image was collected with a piezo stage step size of 500nm. The fly and brainbow images were collected with a Zeiss 780 confocal microscope and processed using the Zeiss Zen software.
Description
  • 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.
Creator
Depositor
  • loganaw@umich.edu
Contact information
Discipline
Funding agency
  • National Institutes of Health (NIH)
ORSP grant number
  • AWD016000
Keyword
Resource type
Last modified
  • 03/21/2023
Published
  • 03/21/2023
Language
DOI
  • https://doi.org/10.7302/wdm8-hw40
License
To Cite this Work:
Walker, L. A., Li, Y., McGlothlin, M., Cai, D. (2023). Data from "A Comparison of Lossless Compression Methods in Microscopy Data Storage Applications" [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/wdm8-hw40

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Files (Count: 6; Size: 28.4 GB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
README.txt 2023-03-20 2023-03-20 1.27 KB Open Access
noise16.tif 2022-10-23 2022-10-23 191 MB Open Access
brainbow.tif 2022-10-23 2022-10-23 272 MB Open Access
bead.tif 2022-11-29 2022-11-29 9.89 GB Open Access
fly.tif 2022-11-29 2022-11-29 8.13 GB Open Access
neurite.tif 2022-11-29 2022-11-29 9.89 GB Open Access

This archive provides the data which was analyzed in our manuscript "A Comparison of Lossless Compression Methods in Microscopy Data Storage Applications" which has been submitted for publication.

All images can be opened using Fiji, the open source scientific imaging application [https://imagej.net/software/fiji/].

Authors: LA Walker (ORCID https://orcid.org/0000-0002-5378-3315), Y Li (ORCID https://orcid.org/0000-0002-8647-384X), M McGlothlin (ORCID https://orcid.org/0000-0003-4638-8082), D Cai. (ORCID https://orcid.org/0000-0003-4471-2061)

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Files included in this archive
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1. `bead.tif`
- This is a 3D image of 100nm Invitrogen TetraSpeck fluorescent microspheres imaged in a blue channel using a custom microscope

2. `fly.tif`
- This is a 3D image of a fly Bitbow brain collected as described in Li, et al. Front. Neural Circuits 2021.

3. `neurite.tif`
- This is a 3D image of DiD-labeled mouse V1 tissue, collected using a custom microscope.

4. `noise16.tif`
- This is a collection of frames collected from a sCMOS camera which has been covered to collect an image with only sensor noise.

5. `brainbow.tif`
- This is a mouse Brainbow image originally published and described in Roossien, et al. Bioinformatics 2019.

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