Imagej macro to calculate the MTF based on a knife edge measurement
- imagej-macro
- electron-microscopy
- image-analysis
- x-ray-imaging
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Imagej macro to calculate the MTF based on a knife edge measurement
your codes should sing for themselves
Use Aseprite files as Sprites in OpenFL projects
Pythonic dynamic sprite generator
GS1-128, GS1-DataMatrix, QR Code, EAN and more. Generates PDF, EPS, SVG, PNG images.
Convert GeoJSON geometry paths to SVG polyline elements.
V: QOI - The "Quite OK Image" format for fast, lossless image compression
Logi is light-weight C++ Vulkan abstraction framework, which attempts to bridge the gap between previous graphics APIs and Vulkan by making API easier to use while still preserving Vulkan semantics and introducing as little overhead as possible.
A port of gears.c to Scala using Scala Native
gulp task for creating image sprites and the corresponding stylesheets
📊 Showcase your open source contributions with beautiful SVG tables. Display your merged PRs from prestigious projects.
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Type-safe HTML template rendering engine for Go with generics, compile-time validation and go-generate support
ImageCrop lets you crop images in Symfony applications, this bundle add a new form field type.
Display your most used licenses as an SVG on your profile README.
Cross-platform C++ framework that allows you to quickly initialize Vulkan and provides easy-to-use abstraction above main objects
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A Python package to analyze matrix fiber orientation and intensity around cells as a proxy for cellular forces. Also measures alignment relative to X/Y axes, points and lines, with optional masks, a Python API and browser tools for analysis and group comparisons.
a design tool for determining if a given design is a valid stencil
#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720
QuimP is software for tracking cellular shape changes and dynamic distributions of fluorescent reporters at the cell membrane.
ucAniGifEx Animated Gif Control
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.