High-performance image processing software for advanced image analysis in bio-science

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Easy pipeline creation

An intuitive interface makes it easy to create image processing pipelines in an intuitive way. There is no limit in the number of pipelines for one project,

AI based object detection

Use either classic thresholding algorithms or pre-trained AI models for more complex object detection

High throughput

ImageC is designed for automatic high throughput image analyzes. Once the processing pipelines are created the pipelines can be applied to thousands of images at once to analyze.

Open

Open source and free for non-commercial use! Please contact us if you plan to use it in a commercial environment.

Big image support

Support for the BigTIFF format, combined with tile-based image loading, allows images of any size to be analysed especially designed for histological image analyzes use cases.

TIF, BTF, VSI, ...

Support for many image formats through the inclusion of Bio-Formats.

import_export

Results export

ImageC allows flexible export data generation including template functionality. Based on these settings data can be exported as R script or as XLSX file.

Results analyzer

An integrated results analyzer makes it possible to directly show the results of a run either as table or heatmap.

Image heatmaps

Visualizes the results organized by heat map areas directly on the image for fast hot spot analyzes.

AI based object detection

AI-based object recognition enables shapes to be recognized where traditional algorithms would fail

Pipeline templates

Predefined pipelines make it easy to get started and are ready to use for some use cases like spot detection.

Easy pipeline creation

Just a few clicks to build your own processing pipelines. ImageC does not have a limit in the number of pipelines. Create as many pipelines as needed, reuse created pipelines or share them with others.

Live preview

Live preview with side by side comparison functionality between original image and resulting image.

Report generation

All results are stored in local database file, which allows to analyze the generated data and export them to XLSX or R.

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Windows

Download for Windows

Version: v1.0.0-beta.1
Timestamp: 2025-04-03 14:53:27

4687513733b996788c726dcddc9597c77c5b85adb7fd9c6cb7a3b77ec841ba6d


Linux

Download for Linux

Version: v1.0.0-beta.1
Timestamp: 2025-04-03 14:53:27

d959a6d8d0fcb2cc02018e78d53708b4e9bb1ee3bf681d11e28523a937b5e2eb


MacOS

In progess

For a complete documentation of ImageC and its features, follow the link below

Documentation