HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
created at May 5, 2021, 3:38 p.m.
Single-cell fluorescence microscopy data analysis
created at May 30, 2017, 12:26 p.m.
Digital Imaging of Root Traits: Extract trait measurements from images of monocot and dicot roots.
created at Sept. 9, 2014, 10:56 p.m.
Efficient cell detection in large images using cellfinder in napari
created at Jan. 22, 2021, 1:21 p.m.
Plugins for ImageJ - color space conversions and color calibration
created at April 28, 2014, 2:59 a.m.
Z-stack Depth Colorcode ImageJ FIJI plugin
created at Jan. 11, 2021, 3:31 p.m.
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
created at Feb. 9, 2021, 2:57 a.m.
Automated 3D brain registration in napari with support for multiple species and atlases.
created at July 2, 2021, 2:11 p.m.
Application to extract features from plant root images
created at Jan. 30, 2019, 4:59 p.m.
Fiji/ImageJ macros to quickly add a scale bar to an (electron microscopy) image.
created at Aug. 10, 2021, 9:41 a.m.
Modular, object-based analysis for ImageJ/Fiji
created at March 16, 2018, 11:43 a.m.
#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720
created at Aug. 10, 2020, 1:59 p.m.