Metadata matters: access to image data in the real world
Melissa Linkert,Curtis Rueden,Chris Allan,Jean-Marie Burel,William J. Moore,Andrew J. Patterson,Brian Loranger,Josh Moore,Carlos H. Neves,Donald MacDonald,Aleksandra Tarkowska,J Caitlin Sticco,Emma Hill,Mike Rossner,Kevin W. Eliceiri,Jason R. Swedlow +15 more
TLDR
An open standard format for multidimensional microscopy image data is described and it is called on the community to use open image data standards and to insist that all imaging platforms support these file formats.Abstract:
Data sharing is important in the biological sciences to prevent duplication of effort, to promote scientific integrity, and to facilitate and disseminate scientific discovery. Sharing requires centralized repositories, and submission to and utility of these resources require common data formats. This is particularly challenging for multidimensional microscopy image data, which are acquired from a variety of platforms with a myriad of proprietary file formats (PFFs). In this paper, we describe an open standard format that we have developed for microscopy image data. We call on the community to use open image data standards and to insist that all imaging platforms support these file formats. This will build the foundation for an open image data repository.read more
Citations
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Ring nucleases deactivate Type III CRISPR ribonucleases by degrading cyclic oligoadenylate
TL;DR: The identification of Ring nucleases adds an important insight to the CRISPR-Cas system and reports the identification of the nuclease that degrades these cOA ring molecules.
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ΔSCOPE: A new method to quantify 3D biological structures and identify differences in zebrafish forebrain development
TL;DR: It is proposed that ΔSCOPE is an innovative approach to advancing the state of image quantification in the field of high resolution microscopy, and that the techniques presented here are of broad applications to the life science field.
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MISA++: A standardized interface for automated bioimage analysis
TL;DR: MISA++ is presented, an image analysis framework that allows easy integration of custom high-performance C++ tools into third- Party applications via standardized components for parallelization, data and parameter handling, command line interface, and communication with third-party applications.
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Spatial cell type mapping of multiple sclerosis lesions
Celia Lerma-Martin,Pau Badia-i-Mompel,Ricardo O. Ramirez Flores,Patricia Sekol,Annika Hofmann,T. Thäwel,Christian J. Riedl,Florian Wünnemann,Miguel A. Ibarra-Arellano,Tim Trobisch,Philipp Eisele,Denis Schapiro,Maximilian Haeussler,Simon Hametner,Julio Saez-Rodriguez,Lucas Schirmer +15 more
TL;DR: In this paper , the authors investigated the properties of subcortical white matter lesions by creating a cell type-specific spatial map of gene expression across various inflammatory lesion stages in MS.
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Research data management for bioimaging: the 2021 NFDI4BIOIMAGE community survey
TL;DR: The importance and value of bioimaging RDM and data sharing was highlighted in a survey conducted by as discussed by the authors , where the authors created a questionnaire tailored to relevant topics of the bio-imaging community, including specific questions on bioimages methods and bioimage analysis, as well as more general questions on RDM principles and tools.
References
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Global Analysis of mRNA Localization Reveals a Prominent Role in Organizing Cellular Architecture and Function
Eric Lécuyer,Hideki Yoshida,Neela Parthasarathy,Christina Alm,Tomas Babak,Tanja Cerovina,Timothy P. Hughes,Pavel Tomancak,Henry M. Krause +8 more
TL;DR: A high-resolution fluorescent in situ hybridization procedure was developed and employed to comprehensively evaluate mRNA localization dynamics during early Drosophila embryogenesis, indicating major roles for mRNA localization in nucleating localized cellular machineries.
Journal ArticleDOI
Full-genome RNAi profiling of early embryogenesis in Caenorhabditis elegans
Birte Sönnichsen,Liisa Koski,Andrew Walsh,P. Marschall,Beate Neumann,M. Brehm,Anne-Marie Alleaume,J. Artelt,Paulo Bettencourt,Etienne Cassin,M. Hewitson,C. Holz,Moddasar N. Khan,S. Lazik,Charles E. Martin,Björn Nitzsche,Martine Ruer,Joanne Stamford,Maria Winzi,R. Heinkel,Marion S. Röder,J. Finell,H. Häntsch,Steven J.M. Jones,Martin R. Jones,Martin R. Jones,Fabio Piano,Kristin C. Gunsalus,Karen Oegema,Pierre Gönczy,Pierre Gönczy,Alan Coulson,Alan Coulson,Anthony A. Hyman,Christophe Echeverri +34 more
TL;DR: This work used RNA-mediated interference to target 98% of all genes predicted in the C. elegans genome in combination with differential interference contrast time-lapse microscopy and developed a phenotypic profiling system, which shows high correlation with cellular processes and biochemical pathways, thus enabling to predict new functions for previously uncharacterized genes.
Journal ArticleDOI
Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes
Beate Neumann,Thomas Walter,Jean-Karim Hériché,Jutta Bulkescher,Holger Erfle,Christian Conrad,Phill Rogers,Ina Poser,Michael Held,Urban Liebel,Cihan Cetin,Frank Sieckmann,Gregoire Pau,Rolf Kabbe,Annelie Wünsche,Venkata P. Satagopam,Michael H.A. Schmitz,Catherine Chapuis,Daniel W. Gerlich,Reinhard Schneider,Roland Eils,Wolfgang Huber,Jan-Michael Peters,Anthony A. Hyman,Richard Durbin,Rainer Pepperkok,Jan Ellenberg +26 more
TL;DR: This study carried out a genome-wide phenotypic profiling of each of the ∼21,000 human protein-coding genes by two-day live imaging of fluorescently labelled chromosomes, which allowed us to identify hundreds of human genes involved in diverse biological functions including cell division, migration and survival.
Journal ArticleDOI
The Zebrafish Information Network: the zebrafish model organism database
Judy Sprague,Leyla Bayraktaroglu,Dave Clements,Tom Conlin,David Fashena,Ken Frazer,Melissa A. Haendel,Douglas G. Howe,Prita Mani,Sridhar Ramachandran,Kevin Schaper,Erik Segerdell,Peiran Song,Brock Sprunger,Sierra Taylor,Ceri E. Van Slyke,Monte Westerfield +16 more
TL;DR: The Zebrafish Information Network (ZFIN) provides an integrated representation of mutants, genes, genetic markers, mapping panels, publications and community resources such as meeting announcements and contact information.
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