Published in

Oxford University Press (OUP), Bioinformatics, 12(29), p. 1580-1582

DOI: 10.1093/bioinformatics/btt175

Links

Tools

Export citation

Search in Google Scholar

CellH5: a format for data exchange in high-content screening

Journal article published in 2013 by Christoph Sommer, Michael Held, Bernd Fischer, Wolfgang Huber ORCID, Daniel W. Gerlich
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

Abstract

Summary: High-throughput microscopy data require a diversity of analytical approaches. However, the construction of workflows that use algorithms from different software packages is difficult owing to a lack of interoperability. To overcome this limitation, we present CellH5, an HDF5 data format for cell-based assays in high-throughput microscopy, which stores high-dimensional image data along with inter-object relations in graphs. CellH5Browser, an interactive gallery image browser, demonstrates the versatility and performance of the file format on live imaging data of dividing human cells. CellH5 provides new opportunities for integrated data analysis by multiple software platforms.