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Daniel Gerlich

dblp:22/1641 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2Applied, interdisciplinary, general and emerging computing · 2Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
high-content screening
0.212013
CellH5: a format for data exchange in high-content screening · Bioinform. 2013

Methods — techniques the papers use, named apart from their topics

HDF5 format · 0.2
YearPublicationVenuePosition
2013 CellH5: a format for data exchange in high-content screening
abstract
UNLABELLED: 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. AVAILABILITY: Source code is freely available at www.github.com/cellh5 under the GPL license and at www.bioconductor.org/packages/release/bioc/html/rhdf5.html under the Artistic-2.0 license. Demo datasets and the CellH5Browser are available at www.cellh5.org. A Fiji importer for cellh5 will be released soon.
Christoph Sommer 0002, Michael Held, Bernd Fischer 0003, Wolfgang Huber, Daniel Gerlich
Bioinform.5
2012 Learning-based mitotic cell detection in histopathological images
Christoph Sommer 0002, Luca Fiaschi, Fred A. Hamprecht, Daniel Gerlich
ICPR4
2001 New Tools for Visualization and Quantification in Dynamic Processes: Application to the Nuclear Envelope Dynamics During Mitosis
Julian Mattes, Johannes Fieres, Joël Beaudouin, Daniel Gerlich, Jan Ellenberg, Roland Eils
MICCAI4