Reverse Dependencies of aicsimageio

The following projects have a declared dependency on aicsimageio:

• actk — Automated Cell Toolkit
• aics-bead-alignment-core — Core algorithms for aligning CZI images
• aics-dask-utils — Utility functions and documentation related to Dask and AICS
• aics-pipeline-uploaders — This package contains resources for uploading pipeline data to FMS
• aics-tf-registration — Rigid registration algorithm for generating training/testing data for transfer function model
• aicscytoparam — Cytoplasm parameterization using spherical harmonics
• aicsimageprocessing — A generalized scientific image processing module from the Allen Institute for Cell Science.
• aicsmlsegment — Scripts for ML structure segmentation.
• aicssegmentation — Part 1 of Allen Cell and Structure Segmenter
• birka — A tool for bioimage data validation and archival
• brainways — Brainways
• cell-imaging — no summary
• cell-imaging-utils — no summary
• cellpack — algorithm to pack molecular recipes
• cerebroflow — Cerebroflow, a package to generate csf flow profiles from csf flow experiments
• cnn-framework — CNN framework
• confluentfucci — no summary
• contact-sites — no summary
• cut-detector — Automatic Cut Detector
• em-add-scalebar — A package to add a scale bar to microscopy images
• em-mpi-add-scalebar — A package to add a scale bar to microscopy images
• fluopenslide1 — Opening fluorescence .czi files
• HiTIPS — HiTIPS: High-Throughput Image Processing Software for FISH data analysis
• hubmap-ome-utils — OME-XML utility functions for HuBMAP computational pipelines
• image-classifier-3d — Python package for building 3d image classifier using deep neural networks
• ImmunoViewer — Explore and annotate your multi-channel large TIF files with this user-friendly viewer.
• infer-subc — A plugin that enables organelle segmentation and analysis
• instanseg-torch — Package for instanseg-torch PyPi
• jinxif — A python3-based image analysis package to achieve fully-documented and reproducible visualization and analysis of bio-medical microscopy images. This is a fork from Jennifer Eng`s mplex_image software library.
• lls-core — Core functionality for analysing and visualizing lattice lightsheet and Oblique Plane Microscopy data.
• microfilm — Creating figures and animations for multi-channel images with a focus on microscopy.
• microscope-automation — Automation software for the AICS Microscopes.
• mmv-h4cells — A simple plugin to help with analyzing cells in napari
• mmv-im2im — A python package for deep learing based image to image transformation
• morphodynamics — Cell segmentation and windowing
• mplexable — A python3-based image analysis package to achieve fully-documented and reproducible visualization and analysis of bio-medical microscopy images. This is a fork from Jennifer Eng`s mplex_image software library.
• multisesh — For combining and analysing microscope imaging data made in multiple different sessions.
• multiview-stitcher — Registration and fusion of large imaging datasets in 2D and 3D.
• napari-aicsimageio — AICSImageIO bindings for napari
• napari-allencell-segmenter — A plugin that enables 3D image segmentation provided by Allen Institute for Cell Science
• napari-brainways — Brainways
• napari-czann-segment — Semantic Segmentation using Deep Learning ONNX models packaged as *.czann files
• napari-findaureus — Locate bacteria in CLSM obtained infected bone tissue images
• napari-imsmicrolink — Plugin to perform IMS to microscopy registration using laser ablation marks.
• napari-lattice — Napari plugin for analysing and visualizing lattice lightsheet and Oblique Plane Microscopy data.
• napari-ndev — A collection of widgets to process images from start to finish--focused on neural development.
• napari-steinpose — A plugin to process Imaging Mass Cytometry data with cellpose and steinbock
• nd2 — Yet another nd2 (Nikon NIS Elements) file reader
• organelle-segmenter-plugin — A plugin that enables organelle segmentation, forked from tools from Allen Institute for Cell Science
• pcdl — physicell data loader (pcdl) provides a platform independent, python3 based, pip installable interface to load output, generated with the PhysiCell agent based modeling framework, into python3.
• scip — Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image
• scip-workflows — no summary
• segmenter-model-zoo — scripts and API for running Deep Learning models from segmenter
• serotiny — A framework of tools to structure, configure and drive deep learning projects
• test-em-add-scalebar — A package to add a scale bar to microscopy images
• towbintools — All the tools used by the Towbin Lab !