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⚠️You are looking at the page of the former bio-image analysis technology development group (BiAPoL). This group is discontinued. Feel free to use or re-use the contents from this organization under the respective license terms. We continue to maintain selected napari-plugins napari-cluster-plotter and biaplotter. ⚠️
Welcome to the profile of the bio-image analysis technology development group (BiAPoL) at Physics of Life / TU Dresden. We provide services and tools for the analysis of microscopy images in the life sciences. If you have any questions or need help with image analysis, feel free to contact us (see contact information below).
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We provide services for the analysis of microscopy images in the life sciences
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Stay with us to bolster your analysis and code proficiency
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Make your code sustainable and reusable
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Pay us to support your work
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We are currently three postdocs working in the group:
After clicking one of the categories below, scroll down the webpage to find the filtered repositories.
For more information on our current and previous members and our mission, visit our group page. For requests, please contact us via email (biapol (at) tu-dresden.de). For image analysis questions, please make sure to also check the image analysis forum.
Please understand that, regarding image analysis, our first and foremost responsibilities are to the Physics of Life institute and the Dresden Life Science community. We will try to help you as much as possible, but we may not be able to provide immediate support.
Lecture materials "Bio-image analysis, biostatistics, programming and machine learning for computational biology" at the Center of Molecular and Cellular Bioengineering (CMCB) / University of Techn…
A napari plugin for clustering objects according to their properties.
PoL Bioimage Analysis Training School: GPU-Accelerated Image Analysis Track
This repository hosts notebooks, information and data for the Quantitative Bio-Image Analysis with Python Course 2022.
A napari plugin for clustering objects according to their properties.
Most of us study and work at the Bio-image Analysis Technology Development group at the DFG Cluster of Excellence “Physics of Life” at the TU Dresden. We blog about image data science, knowledge exchange and research data management in the life sciences.
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