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@cnio-cmu-BioimageAnalysis

CNIO-CMU-BioImage Analysis

Confocal Microscopy Unit at CNIO for Bioimage Analysis Support

Hi 👋,This is the CMU page for Bioimage Analysis support at CNIO

The CNIO-CMU-BioIA supports CNIO scientists and visitors in the quantitative extraction of biologically meaningful information from microscopy images of biological samples.

acayuelalopez

acayuelalopez

  • Currently, we work with different bioimage analysis tools (comercial and open-source) such as QuPath, CellProfiler, Fiji/ImageJ, Ilastik, CellPose, Nextflow, Imaris (commerical), Napari...

  • 🤝 The goal of this unit is to facilitate the extraction of the largest amount possible of information from the acquired images. In particular:

    • We support researchers in the use of specific image processing software.
    • We develop specific software to solve common image analysis problems in microscopy (particle analysis and tracking; diffusion processes; localization, co-localization and spatial statistics; quantification of relative fluorescence; shape, textural and morphology quantification; event detection and counting; distortion corrections; characterization of image quality; etc.)
    • We develop software that allows the automation of the steps above for the most common workflows.
    • Real-time processing is targeted. We help in the definition of the acquisition parameters so that the posterior image analysis is most profitable.
    • We organize courses on image analysis for microscopy.
  • 💬 How to contact with us by writing both [email protected]/[email protected]

  • 📫 How to reach us https://www.cnio.es/investigacion-e-innovacion/programas-cientificos/programa-de-biotecnologia/unidad-de-microscopia-confocal/

Programming Languages and Image Analysis Tools:

java linux opencv pandas python pytorch scikit_learn seaborn tensorflow groovy fiji imagej qupath cellprofiler ilastik napari cellpose

acayuelalopez

 acayuelalopez

acayuelalopez

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  1. cellQuantification_code cellQuantification_code Public

    This groovy script helps to quantify positive areas of overlapping among cells

    Groovy

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