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
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Technical Challenges of Enterprise Imaging: HIMSS-SIIM Collaborative White Paper
David A. Clunie,Donald K. Dennison,Dawn Cram,Kenneth R. Persons,Bronkalla Mark D,Henri Rik Primo +5 more
TL;DR: The technical challenges and solutions for acquiring (capturing) and managing enterprise images, particularly those involving visible light applications, are explored, with particular emphasis on the importance of metadata capture in both order- and encounter-based workflow.
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Segmenting and Tracking Multiple Dividing Targets Using ilastik.
TL;DR: This robust tracking-by-assignment algorithm explicitly makes allowance for false positive detections, undersegmentation, and cell division, and users will be able to track targets of interest in their own data.
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DestVI identifies continuums of cell types in spatial transcriptomics data
Оксана Карабін,Geert De Neve +1 more
TL;DR: Deconvolution of Spatial Transcriptomics profiles using Variational Inference (DestVI) as mentioned in this paper was proposed to identify continuous variation of the transcriptome within cells of the same type.
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Analyzing Microbial Population Heterogeneity—Expanding the Toolbox of Microfluidic Single-Cell Cultivations
Markus Leygeber,Dorina Lindemann,Christian Carsten Sachs,Eugen Kaganovitch,Wolfgang Wiechert,Wolfgang Wiechert,Katharina Nöh,Dietrich Kohlheyer,Dietrich Kohlheyer +8 more
TL;DR: This review reports recent developments and applications of microfluidic single-cell cultivation technology, highlighting fields of broad interest such as growth, gene expression and antibiotic resistance and susceptibility, and compares prominent software systems that emerged during the last decade, discussing their applicability, opportunities and limitations.
References
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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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