Organiod App
Detect cultured organoids using a machine learning classifier, quantify organoid number and total area (µm²), and classify organoids into defined size categories.
cell culture
organoid detection
organoid quantification, immune cells, co-culture, machine learning
The Organiod App detects cultured organoids using the machine learning classifier. It outputs number and total area (µm2) of organiods and categorizes them into different size classes.
Image courtesy of Prof. Uwe Ritter, Leibniz Institute for Immunotherapy (LIT), Regensburg, Germany
Original Image
Organoid detection
Classification by size
organoid detection
Webinar
26 May, 2025
Exploring Immune Cell Interactions and Tissue Regeneration through Imaging
cell culture
Webinar
19 Nov, 2024
Quantification of p-H2AX Foci in Co-cultured Cells Exposed to Radiation, Livia Sima
We support the following file formats:
- TissueFAXS (aqproj)
- StrataFAXS II (vmic)
- PreciPoint (vmic, gtif)
- Generic BigTIFF Import
- Support for multipage BigTIFF files
- OME-TIFF
- JPEG, PNG, BMP, TIFF
- Zeiss (czi)
- Hamamatsu NanoZoomer (ndpi)
- Aperio (svs)
- Leica (scn)
- 3D HISTECH Pannoramic
- Mirax (mrxs)
- Olympus (vsi)
- More slide scanners to be added!
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Custom App development
Perfectly tailored image analysis solutions for your research.
You have a specific research question that needs to be answered? We offer custom development of image analysis pipelines for specific tasks, be it detection of cellular phenotypes or quantification of tissue structures. After discussing your goals with one of our experts, you will get a ready-to-use App and be a step closer to an impactful publication.
