In the latest issue of #JCellSci, with Stefania Marcotti, Lina Gerontogianni, Gavin Kelly, & David J. Barry, a reanalysis of images from the #IDR to answer the age-old question:

How do you tell #statistical #significance from #biological significance?

๐Ÿ“ https://doi.org/10.1242/jcs.264367

#Neuroscience #Statistics #Biology #imageanalysis #Bioimaging #imaging #bioimageanalysis

๐Ÿ”ฌ A breakthrough for spatial biology? This ultrafast 3D imaging method enables deep whole-organ visualization faster than ever before.

๐Ÿ”— Rapid 3D Immunolabeling and Light Sheet Microscopy for Quantitative Analysis of Intact Tissues. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0121

๐Ÿ“š CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#Bioimaging #3DImaging #LightSheetMicroscopy #TissueBiology #Microscopy #CellBiology #SpatialBiology #Histology

Thank you to organisers @fran_bottanelli, @guijacquemet, Michael Way and Giulia Zanetti and everyone who joined us at this week's Journal of Cell Science meeting on 'Imaging Cell Dynamics'.
https://journals.biologists.com/jcs

#JCSimaging #imaging #biology #bioimaging #CellBiology

Practical Implementation of FAIR Bioimaging Workflows in Plasma Medicine

At the 5th Workshop on FAIR Data in #PlasmaScience (FDPS-V) at @ruhr-uni-bochum.de, @mohsenahmadi presented his work integrating research data management systems for #bioimaging in plasma medicine with Jupyter Notebook workflows. His presentation highlighted practical strategies to support #FAIR and interoperable bioimaging data handling in plasma medicine research.

๐Ÿ‘‰ Find out more: https://www.biorxiv.org/content/10.64898/2026.01.26.700509v1.full

๐Ÿ”ฌ New #SpectralUnmixing paper by Ashesh et al. ( @florianjug): A #DeepLearning-based framework #MicroSplit for #FluorescenceMicroscopy that separates highly overlapping #fluorophore signals directly from multiplexed #ImagingData. Improves signal separation, reduces crosstalk, & enables more accurate multi-channel #imaging w/o requiring extensive reference measurements. Canโ€™t wait to try this out on our in vivo #2P/ #3P imaging data:

๐Ÿ“ https://doi.org/10.1038/s41592-026-03082-1

#Bioimaging

Deadline is this Friday 1 May to submit your research to the JCS special issue: Imaging Cell Architecture and Dynamics
#imaging #cellbiology #bioimaging https://journals.biologists.com/jcs/pages/imaging

@nfdi4bioimage started the new year with enthusiasm and many plans, and you'll find what's new, what's upcoming, and what's to read or review in our latest newsletter.

Take a look to find out about the latest developments within the @NFDI and get an overview of upcoming conferences, workshops, and publications related to #bioimaging research data management for the upcoming year.

๐Ÿ“จ https://nfdi4bioimage.de/community-integration/newsletter/#c896618

๐Ÿ–ผ๏ธ๐ŸŽฅ New to BIIGLE? Join the BIIGLE4Beginners Workshop!
๐Ÿ—“๏ธ Dec 11, 2025 | 14:00โ€“16:00 CET | ๐ŸŒ Online
Learn end-to-end image & video annotation from #BioImaging โ€“ perfect for newcomers!
Register: https://www.denbi.de/training-courses-2025/1984-biigle4beginners-december-workshop-2025
#BIIGLE #ImageAnnotation #VideoAnnotation

๐Ÿงฌ How can AI bridge the gap between histology and spatial transcriptomics?

๐Ÿ”— SegDecon bridges histology and transcriptomics through AI-based nuclei segmentation and image-informed spatial deconvolution. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.10.041

๐Ÿ“š CSBJ: https://www.csbj.org/

#SpatialTranscriptomics #Histology #Genomics #SystemsBiology #NucleiSegmentation #AI #CellBiology #TissueBiology #Bioimaging