Results 101 to 110 of about 9,990 (205)

Tankyrase‐2 regulates adipocyte differentiation through AMPK/mTOR signaling

The FEBS Journal, EarlyView.
Tankyrase 2 (TNKS2), a PARP family member, underpins adipocyte differentiation. TNKS2 controls LKB1 protein level, and consequently, the activity of the mTOR/AMPK system and adipocyte differentiation through a layered process. Pharmacological inhibition of TNKS2 leaves other PARPs and DNA repair active and therefore represents a novel target in ...
Boglarka Rauch, Gyula Ujlaki, Szilard Poliska, Nakayi Murahwa, Patrik Kovacs, Aladar Pettko‐Szandtner, Karen Uray, Peter Bai   +7 more
wiley   +1 more source

MeioSeed: a CellProfiler-based program to count fluorescent seeds for crossover frequency analysis in Arabidopsis thaliana

Plant Methods, 2018
Background The formation of crossovers during meiosis is pivotal for the redistribution of traits among the progeny of sexually reproducing organisms. In plants the molecular mechanisms underlying the formation of crossovers have been well established ...
Niels van Tol, Martijn Rolloos, Peter van Loon, Bert J. van der Zaal   +3 more
doaj   +1 more source

All properties measured by CellProfiler at every 15 min time point and considered in further analysis.

, 2019
All properties measured by CellProfiler at every 15 min time point and considered in further analysis.
Deena A. Rennerfeldt (6551099), Pristinavae Manning (6551108), Samantha M. Leff (6551105), Joana S. Raminhos (6551102), Krystyn J. Van Vliet (163233)   +4 more
core   +1 more source

BIOMERO 2.0: End‐to‐end FAIR infrastructure for bioimaging data import, analysis, and provenance

Journal of Microscopy, EarlyView.
Abstract We present BIOMERO 2.0, a major evolution of the BIOMERO framework that transforms OMERO into a FAIR‐compliant (findable, accessible, interoperable, and reusable), provenance‐aware bioimaging platform. BIOMERO 2.0 integrates data import, preprocessing, analysis, and workflow monitoring through an OMERO.web plugin and containerised components ...
Torec T. Luik, Joost de Folter, Rodrigo Rosas‐Bertolini, Eric A. J. Reits, Ron A. Hoebe, Przemek M. Krawczyk   +5 more
wiley   +1 more source

Evaluating integrative strategies for incorporating phenotypic features in spatial transcriptomics

Journal of Microscopy, EarlyView.
Abstract The key advantage of spatial transcriptomics (ST) technologies lies in the spatial domain: these techniques not only offer an unprecedented opportunity to interrogate intact biological samples in a spatially informed manner, but also set the stage for integration with other imaging‐based modalities.
Levin M Moser, Ahmad Kamal Hamid, Esteban Miglietta, Nodar Gogoberidze, Beth A Cimini   +4 more
wiley   +1 more source

Additional file 3: of CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data

, 2016
Listing of high-content image-based features generated by CellProfiler, categorized by feature type.
Anne Carpenter (3542801), Mark-Anthony Bray (229274)   +1 more
core   +1 more source

Data of article "Automated segmentation and quantitative analysis of organelle morphology, localization and content using CellProfiler"

, 2022
This entails the data that is used in the manuscript "Automated segmentation and quantitative analysis of organelle morphology, localization and content using CellProfiler" to be submitted to Plos One.
Laan, Sebastiaan
core   +1 more source

Bioimage management and analysis in Galaxy: Tools, workflows, training, and community practices

Journal of Microscopy, EarlyView.
ABSTRACT Image analysis in the life sciences is constrained by fragmented software ecosystems, heterogeneous data formats, and limited reproducibility. These barriers hinder the reuse of image analysis methods and the sustainability of tools. In this article, we describe how the Galaxy platform enables FAIR (Findable, Accessible, Interoperable, and ...
Leonid Kostrykin, Riccardo Massei, Diana Chiang, Thomas Wollmann, Jean‐Marie Burel, David Lopez Tabernero, Yi Sun, Qi Gao, Maarten W. Paul, Pavankumar Videm, Cameron Watson, Daniel Franco‐Barranco, Anup Kumar, Nadia Goué, Reyhaneh Tavakoli Koopaei, Vladimír Ulman, Khaled Jum'ah, Krzysztof Poterlowicz, Martin Etzrodt, Arrate Muñoz‐Barrutia, Sylvia E. Le Dévédec, Josh Moore, Jeremy Goecks, Bjoern Gruening, Karl Rohr, Beatriz Serrano‐Solano   +25 more
wiley   +1 more source

AutoCellSeg: robust automatic colony forming unit (CFU)/cell analysis using adaptive image segmentation and easy-to-use post-editing techniques

Scientific Reports, 2018
In biological assays, automated cell/colony segmentation and counting is imperative owing to huge image sets. Problems occurring due to drifting image acquisition conditions, background noise and high variation in colony features in experiments demand a ...
Arif ul Maula Khan, Angelo Torelli, Ivo Wolf, Norbert Gretz   +3 more
doaj   +1 more source

Demystifying HPC: Empowering life scientists in HPC use for BioImage analysis

Journal of Microscopy, EarlyView.
Abstract High‐performance computing (HPC) has become an essential tool for BioImage analysis as recent advances in microscopy are creating increasingly large and complex datasets, the analysis of which is beyond the capabilities of personal computers.
Camille Charoy, Ruaridh Gollifer, Camilla Harris, Courtney Hopf, Stefania Marcotti, Kimberly Meechan, John Roche, Todd Fallesen   +7 more
wiley   +1 more source