Reverse Dependencies of tifffile

The following projects have a declared dependency on tifffile:

• Qiber3D — Automated quantification of fibrous networks
• qim3d — QIM tools and user interfaces for volumetric imaging
• qpformat — library for opening quantitative phase imaging data
• quickpbsa — Fast and Complete Photobleaching Step Analysis
• quilt3distribute — A small wrapper around quilt3 to make distributing manifest style datasets even easier.
• quoll — Image quality assessment for electron tomography
• qutech-util — Utility package of the Quantum Technology group of RWTH Aachen
• radiantkit — Radial Image Analysis Toolkit
• radioSphere — Software for the Practical Analysis of Materials
• raw2tmap — Convert OME-Zarr files to TMAP format
• reflectdetect — An automated workflow for in-flight radiometric calibration of UAV imagery
• retinotopic-maps — retinotopic mapping tools
• rldec — RLDec is a decomposition tool that analyzes the source code of a monolithic Java application and suggests the recommended microservices for each class in the system using a Deep Reinforcement Learning based method.
• rlmc — Python utils for AI 🚀
• roiextractors — Python module for extracting optical physiology ROIs and traces for various file types and formats
• roifile — Read and write ImageJ ROI format
• roimarker — A rectangle-ROI annotator using matplotlib
• root-tissue-seg-package — An mlf-core prediction package for root tissue segmentation.
• rosettasciio — Reading and writing scientific file formats
• rsnaped — Python module for single-molecule image processing.
• rstojnic-tfds-nightly — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• rtsstat — rtsstat. A mlf-core based .
• sabhi-utils — Self rolled utils to be used with the Sabhi ML Services
• sand-atlas — A python package for processing 3d volumetric data to build meshes for the Sand Atlas data repository
• sanpy-ephys — Whole cell current-clamp analysis.
• satsim — Satellite observation and scene simulator.
• SC-Track — single cell tracking package
• scan-to-paperless — Tool to scan and process documents to paperless
• scanalignment — Scan Alignment of STXM images.
• scanreader — Tiff reader for ScanImage BigTiff files.
• scarr — Scarr (Multi-Resolution Zarr) is a Python library for working with the Scarr image format
• scenestats — A PyTorch port of the Freeman-Simoncelli model introduced in J. Freeman and E. P. Simoncelli, “Metamers of the ventral stream,” Nat Neurosci, vol. 14, no. 9, pp. 1195–1201, Sep. 2011, doi: 10.1038/nn.2889.
• SciFiReaders — Tools for extracting data and metadata from scientific data files
• scifo — Scifo (Scientific Zarr) is a Python library for working with the Scifo image format
• scikit-rt — Toolkit for analysis of radiotherapy data
• scimap — Spatial Single-Cell Analysis Toolkit
• scipion-em — This modules contains classes related with EM
• scipion-em-motioncorr — Plugin to use motioncor programs within the Scipion framework
• scipion-fluo — Base pyworkflow plugin for Fluorescence image processing
• scisoftpy — DAWN Python Extensions
• scitiff — Scientific tiff format for imaging experiments.
• scportrait — Computational framework to generate single cell datasets from raw microscopy images.
• scroll-renderer — A package for flattening and rendering 3D meshes of segments of the Herculaneum Papyri.
• sdt-python — Tools for fluorescence microscopy analysis
• seas — python Signal Extraction and Segmentation
• sed-processor — Single Event Data Frame Processor: Backend to handle photoelectron resolved datastreams
• segmentation-skeleton-metrics — Python package for evaluating neuron segmentations in terms of the number of splits and merges
• sentinel-downloader — A Python package for downloading and processing Sentinel satellite images.
• sentinelhub — Python API for Sentinel Hub
• SGBench — A collection of metrics for scene graph generation
• shapeaxi — Shape Analysis Exploration and Interpretability
• sigmaex — A python package for checking the gaussian histogram of data array.
• silverlabnwb — Python tools for working with Silver Lab data in the NWB2 format
• simfcs — Install requirements for the SimFCS software
• simpar-cli — simple cli for paragraphe recognition
• Simple-Track-Builder — A very simple cell tracker from labeled images
• SimpliPyTEM — A python package to simplify the processing and analysis of TEM and in situ TEM images and videos
• skan — Skeleton analysis in Python
• skoots — SKeletOn ObjecT Segmentation (SKOOTS)
• slcpy — Python package to decode Amira 3D coordinate spatial graphs into semantic label mask
• slimoneat — Static and Dynamic classification tool.
• slitflow — A Python framework for single-molecule dynamics and localization analysis
• SLIX — SLIX allows an automated evaluation of SLI measurements and generates different parameter maps.
• SMAK — A MicroAnalysis Toolkit.
• smartem — Tool to trace cryoEM SPA processing results through the magnification hierarchy provided by EPU
• smfish-image-processing — SmFISH image processing library including image stitching, rotation, scaling tools
• smpr3d — smpr3d is a toolkit for 3D reconstruction from scanning diffraction data
• snouty-viewer — A plugin to visualize, deskew, and combine Snouty data.
• sparx-lib — Sparx Implementation
• spatial-analysis-toolkit — tools for interacting with spatial data
• spatialdata-io — SpatialData IO for common techs
• spatialMETA — spatialMETA: a deep learning framework for spatial multiomics
• specsanalyzer — Python package for loading and converting SPECS Phoibos analyzer data.
• spellmatch — Spatial cell representation matching
• spherpro — Tool to analize tumor spheroid data
• sphynxml — no summary
• spot2cell — From a X,Y list of detected spots, assigns each spot to a cell based on a segmentation mask
• spotiflow — Accurate and efficient spot detection for microscopy data
• spotipy-detector — Accurate and efficient spot detection with CNNs
• spots-in-yeasts — A Napari plugin segmenting yeast cells and fluo spots to extract statistics.
• Sprinkle — Sprinkle: Synapse Pipeline for Research Integration, Number Krunching, Loving Experiments.
• squidpy — Spatial Single Cell Analysis in Python
• ssnp — Split-step non-paraxial beam propagation simulation package
• st-visium-datasets — no summary
• stack-to-chunk — Convert stacks of images to chunked datasets
• star3d — STAR-3D (STardist-based network for AnisotRopic 3D images) is a trained StarDist-3D-based network for 3D nucleus segmentation in highly anisotropic images.
• stars-omics — A spatial transcriptomics analysis tool.
• std-daq-service — no summary
• steinbock — A toolkit for processing multiplexed tissue images
• STHD — STHD: probabilistic cell typing of single Spots in whole Transcriptome spatial data with High Definition
• stio — IO for Stereo Cell
• StitchM — A package for stitching mosaics from Cockpit with (or without) ROIs
• stitchwell — ND2 Stitcher
• STMiner — Python package for spatial transcriptomics data analysis
• stomatadetector — Stomata detection from FLEX/TIFF fluorescent images
• strong-image-creation — A package to create summed images from a series of tiff or h5 files in a folder.
• stuned — Utility code from STAI (https://scalabletrustworthyai.github.io/)
• stxmalign — Pixel Alignment of STXM images.
• stxmnorm — Normalization techniques for STXM images.
• stxmproc — Pixel Alignment and Normalization of STXM images.