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
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
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.
👉 Find out more: https://www.biorxiv.org/content/10.64898/2026.01.26.700509v1.full
🔬 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. Can’t wait to try this out on our in vivo #2P/ #3P imaging data:
@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.
📨 https://nfdi4bioimage.de/community-integration/newsletter/#c896618
Job Alert
PhD Candidate (m/f/d)
Deadline: 2026-02-02
Location: Germany - Dortmund
https://www.academiceurope.com/ads/phd-candidate-m-f-d/
#hiring #PhD #CardiovascularResearch #Immunology #Bioimaging #naturalsciences #biology #biochemistry #LifeSciences
🧬 How can AI bridge the gap between histology and spatial transcriptomics?
🔗 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
📚 CSBJ: https://www.csbj.org/
#SpatialTranscriptomics #Histology #Genomics #SystemsBiology #NucleiSegmentation #AI #CellBiology #TissueBiology #Bioimaging
New tutorial from the Galaxy Training Network! Learn how to quantify gel electrophoresis bands using QuPath + Galaxy. Fully open, reproducible, and beginner-friendly.
https://training.galaxyproject.org/training-material/news/2025/08/18/bands_image_analysis.html
@galaxyproject
#Bioinformatics #ImageAnalysis #GelElectrophoresis #OpenScience #ReproducibleResearch #GalaxyProject #QuPath #Bioimaging #LifeSciences #OpenSourceTools #ScienceEducation #DataAnalysis #ResearchTools
Gel Electrophoresis is a staple of molecular biology, providing a way to separate DNA, RNA, or proteins by size and charge. While gels are usually interpreted visually, the ability to quantify band intensities offers much richer insights—allowing researchers to estimate product yields, verify PCR amplification, or assess protein purity.
New tutorial from the Galaxy Training Network! Learn how to quantify gel electrophoresis bands using QuPath + Galaxy. Fully open, reproducible, and beginner-friendly.
https://training.galaxyproject.org/training-material/news/2025/08/18/bands_image_analysis.html
@galaxyfreiburg
#Bioinformatics #ImageAnalysis #GelElectrophoresis #OpenScience #ReproducibleResearch #GalaxyProject #QuPath #Bioimaging #LifeSciences #OpenSourceTools #ScienceEducation #DataAnalysis #ResearchTools
Gel Electrophoresis is a staple of molecular biology, providing a way to separate DNA, RNA, or proteins by size and charge. While gels are usually interpreted visually, the ability to quantify band intensities offers much richer insights—allowing researchers to estimate product yields, verify PCR amplification, or assess protein purity.