Abstract
We present a toolbox for high-throughput screening of image-based Caenorhabditis elegans phenotypes. The image analysis algorithms measure morphological phenotypes in individual worms and are effective for a variety of assays and imaging systems. This WormToolbox is available through the open-source CellProfiler project and enables objective scoring of whole-worm high-throughput image-based assays of C. elegans for the study of diverse biological pathways that are relevant to human disease.
| Original language | American English |
|---|---|
| Pages (from-to) | 714-716 |
| Number of pages | 3 |
| Journal | Nature Methods |
| Volume | 9 |
| Issue number | 7 |
| DOIs | |
| State | Published - 1 Jul 2012 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Biotechnology
- Biochemistry
- Molecular Biology
- Cell Biology
Fingerprint
Dive into the research topics of 'An image analysis toolbox for high-throughput C. elegans assays'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver