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Biological Image Analysis

144 items from hallvaaw/awesome-biological-image-analysis ★198

  1. Classpose github.com

    A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration.

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  2. Napari-aicsimageio github.com

    Multiple file format reading directly into napari using pure Python.

  3. PartSeg github.com

    A GUI and a library for segmentation algorithms.

  4. Cellshape github.com

    3D single-cell shape analysis of cancer cells using geometric deep learning.

  5. HistoClean github.com

    Tool for the preprocessing and augmentation of images used in deep learning models.

  6. LLSpy github.com

    Python library to facilitate lattice light sheet data processing.

  7. Quanfima github.com

    Quantitative Analysis of Fibrous Materials: A collection of useful functions for morphological analysis and visualization of 2D/3D data from various areas of material science.

  8. Rhizovision Explorer github.com

    Free and open-source software developed for estimating root traits from images acquired from a flatbed scanner or camera.

  9. BoneJ github.com

    Collection of Fiji/ImageJ plug-ins for skeletal biology.

  10. YeaZ github.com

    An interactive tool for segmenting yeast cells using deep learning.

  11. NCS github.com

    Noise correction algorithm for sCMOS cameras.

  12. ColiCoords github.com

    Python project for analysis of fluorescence microscopy data from rodlike cells.

  13. Ijp-color github.com

    Plugins for ImageJ - color space conversions and color calibration.

  14. Flika github.com

    An interactive image processing program for biologists written in Python.

  15. Z-stack Depth Color Code github.com

    ImageJ/Fiji plugin to colorcode Z-stacks/hyperstacks.

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  16. SyMBac github.com

    Accurate segmentation of bacterial microscope images using synthetically generated image data.

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  17. ASI_MTF github.com

    ImageJ macro to calculate the modulation transfer function (MTF) based on a knife edge (or slanted edge) measurement.

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  18. TrackMateR github.com

    R package to analyze cell migration and particle tracking experiments using outputs from TrackMate.

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  19. MIA github.com

    Fiji plugin which provides a modular framework for assembling image and object analysis workflows.

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  20. Em-scalebartools github.com

    Fiji/ImageJ macros to quickly add a scale bar to an (electron microscopy) image.

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  21. Fungal Feature Tracker (FFT) github.com

    Tool to quantitatively characterize morphology and growth of filamentous fungi.

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  22. CompactionAnalyzer github.com

    Python package to quantify the tissue compaction (as a measure of the contractile strength) generated by cells or multicellular spheroids that are embedded in fiber materials.

  23. ZVQ - Zebrafish Vascular Quantification github.com

    Image analysis pipeline to perform 3D quantification of the total or regional zebrafish brain vasculature using the image analysis software Fiji.

  24. Cytominer-database github.com

    Command-line tools for organizing measurements extracted from images.

  25. CellMigration github.com

    Analysis of 2D cell migration in Igor.

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  26. DetecDiv github.com

    Comprehensive set of tools to analyze time microscopy images using deep learning methods.

  27. QuimP github.com

    Software for tracking cellular shape changes and dynamic distributions of fluorescent reporters at the cell membrane.

  28. XitoSBML github.com

    ImageJ plugin which creates a Spatial SBML model from segmented images.

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  29. htsimaging github.com

    Python package for high-throughput single-cell imaging analysis.

  30. Empanada github.com

    Panoptic segmentation algorithms for 2D and 3D electron microscopy images.

  31. Salem² github.com

    Segment Anything in Light and Electron Microscopy via Membrane Guidance.

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  32. BactMap github.com

    A command-line based R package that allows researchers to transform cell segmentation and spot detection data generated by different programs into various plots.

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  33. PhenotyperCV github.com

    Header-only C++11 library using OpenCV for high-throughput image-based plant phenotyping.

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  34. DypFISH github.com

    Python library for spatial analysis of smFISH images.

  35. LeafByte zoegp.science

    Free and open source mobile app for measuring herbivory quickly and accurately.

  36. YeastMate yeastmate.readthedocs.io

    Neural network-assisted segmentation of mating and budding events in S. cerevisiae.

  37. VisionSetil visionsetil.com

    Multi-view image classification of Iberian mushrooms for education (open encyclopedia of 523 taxa, deadly lookalikes). Orientation only — never consumption permission.

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  38. TissUUmaps tissuumaps.github.io

    Visualizer of NGS data, plot millions of points and interact, gate, export. ISS rounds and base visualization.

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  39. Trackpy soft-matter.github.io

    Fast and Flexible Particle-Tracking Toolkit.

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  40. QuPath qupath.github.io

    Open source software for digital pathology image analysis.

  41. RhizoTrak prbio-hub.github.io

    Open source tool for flexible and efficient manual annotation of complex time-series minirhizotron images.

  42. Orbit orbit.bio

    A versatile image analysis software for biological image-based quantification using machine learning, especially for whole slide imaging.

  43. Large-scale image-based screening and profiling of cellular phenotypes onlinelibrary.wiley.com

    A workflow for phenotype extraction from high throughput imaging experiments.

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  44. Panda nitrc.org

    Pipeline for Analyzing braiN Diffusion imAges: A MATLAB toolbox for pipeline processing of diffusion MRI images.

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  45. MorphoGraphX morphographx.org

    Open source application for the visualization and analysis of 4D biological datasets.

  46. PaCeQuant mitobo.informatik.uni-halle.de

    An ImageJ-based tool which provides a fully automatic image analysis workflow for PC shape quantification.

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  47. Biobeam maweigert.github.io

    Open source software package that is designed to provide fast methods for in-silico optical experiments with an emphasize on image formation in biological tissues.

  48. Workflow and metrics for image quality control in large-scale high-content screens linkinghub.elsevier.com

    Approaches for quality control in high-content imaging screens.

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  49. NeuronJ imagescience.org

    An ImageJ plugin for neurite tracing and analysis.

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  50. TraJClassifier imagej.net

    Fiji plugin that loads trajectories from TrackMate, characterizes them using TraJ and classifiies them into normal diffusion, subdiffusion, confined diffusion and directed/active motion by a random forest approach (through Renjin).

    site link ↗
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