forked from awslabs/open-data-registry
-
Notifications
You must be signed in to change notification settings - Fork 0
/
cell-painting-image-collection.yaml
41 lines (41 loc) · 1.59 KB
/
cell-painting-image-collection.yaml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
Name: Cell Painting Image Collection
Description: |
The Cell Painting Image Collection is a collection of freely
downloadable microscopy image sets. Cell Painting is an
unbiased high throughput imaging assay used to analyze
perturbations in cell models. In addition to the images
themselves, each set includes a description of the biological
application and some type of "ground truth" (expected results).
Researchers are encouraged to use these image sets as reference
points when developing, testing, and publishing new image
analysis algorithms for the life sciences. We hope that the
this data set will lead to a better understanding of which
methods are best for various biological image analysis
applications.
Documentation: https://github.com/cytodata/cytodata-hackathon-2018
Contact: Post on https://forum.image.sc/ and tag with "cellpainting"
UpdateFrequency: irregularly
Tags:
- aws-pds
- microscopy
- biology
- life sciences
- imaging
- high-throughput imaging
- cell imaging
- cell painting
- fluorescence imaging
License: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Resources:
- Description: Images, extracted features and aggregated profiles are available as a S3 bucket
ARN: arn:aws:s3:::cytodata
Region: us-east-1
Type: S3 Bucket
DataAtWork:
Tutorials:
Tools & Applications:
Publications:
- Title: Example submission for the 2018 CytoData Hackathon (in R and Python)
URL: https://github.com/cytodata/cytodata-hackathon-2018/tree/master/cytodata-toolkit/
AuthorName: Juan Caicedo, Tim Becker
AuthorURL: broadinstitute.org