Component

A Component is an implementation of certain image processing / analysis algorithms.

Each component alone does not solve a Bioimage Analysis problem.

These problems can be addressed by combining such components into workflows.

Description

Crop 2D/3D images with arbitrary box size and orientation(s).

The RotCrop Plugins for ImageJ allow to perform rotated crop of 2D/3D images. In fully manual versions, the crop can be defined based on crop dimensions, crop center, and rotation angle(s) of the crop frame (in 3D, three angles are necessary).

Additional plugins provides an estimate of the rotation based on the gradient vector computed around the crop frame center. The gradient direction is used as vertical direction in the result, making it easier to generate 2D/3D images that are tangent to a surface such as the epidermis of an organ or organism.

has function
Usage example of the Rotated Crop Plugin
Description

A collection of Image Processing and Analysis (IPA) functions used at the Facility for Advanced Imaging and Microscopy (FAIM).

has function
need a thumbnail
Description

DeXtrusion is a machine learning based python pipeline to detect cell extrusions in epithelial tissues movies. It can also detect cell divisions and SOPs, and can easily be trained to detect other dynamic events.

DeXtrusion takes as input a movie of an epithelium and outputs the spatio-temporal location of cell extrusion events or other event as cell divisions. The movie is discretized into small overlapping rolling windows which are individually classified for event detection by a trained neural network. Results are then put together in event probability map for the whole movie or as spatio-temporal points indicating each event.

DeXtrusion probability map
Description

HistoMetrix is an advanced histology analysis software designed to simplify image processing and analysis for biologists and pathologists. Powered by the most advanced deep learning technology, HistoMetrix enables you to effortlessly uncover valuable insights and visualize results without the need for extensive technical expertise. Let’s explore the key features that make HistoMetrix the ultimate solution for histology analysis.

HistoMetrix leverages cutting-edge deep learning technology to streamline and simplify image processing for histology analysis. You can easily navigate through complex datasets, detect and analyze tissue structures, and extract meaningful information with just a few clicks. Research use only.

 

HistoMetrix combines advanced deep learning technology with cost-effectiveness, making it the ideal histology analysis software for biologists and pathologists. With HistoMetrix, effortlessly uncover valuable insights, visualize results, and simplify image processing, all while enjoying significant cost savings compared to other solutions. Benefit from affordable pricing plans, no expensive hardware requirements, and no need for costly training programs. HistoMetrix streamlines workflows, automates tasks, and provides efficient analysis tools, allowing you to save valuable time and resources. Experience the cost-effective solution for histology analysis and accelerate your research with HistoMetrix.

HistoMetriX for image analysis of histology slides

Metric Reloaded: how to select and use your metrics

Submitted by Perrine on

The mission of Metrics Reloaded is to guide researchers in the selection of appropriate performance metrics for biomedical image analysis problems, as well as provide a comprehensive online resource for metric-related information and pitfalls. This website provides ressources such as a tool to select the best metric, as well as tutorials about the way to use and interpret metrics in image analysis.