Home - imageC

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.

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.

Download

Windows

Download for Windows

Version: v1.0.0-beta.11
Timestamp: 2025-04-26 20:56:50

6b71ea62588c67bd6653bf1c7a88b0558bf180f7b110ec734d7077bb55a472b9

Linux

Download for Linux

Version: v1.0.0-beta.11
Timestamp: 2025-04-26 20:56:50

06586c853ea032a4bd208fd509bf37cccf8baf89109239defa4951df49e1191e

MacOS

In progess

Please don't forget to cite us
Schürz, M., Danmayr, J., Jaritsch, M., Klinglmayr, E., Benirschke, H. M., Matea, C. -. T., Zimmerebner, P., Rauter, J., Wolf, M., Gomes, F. G., Kratochvil, Z., Heger, Z., Miller, A., Heuser, T., Stanojlovic, V., Kiefer, J., Plank, T., Johnson, L., Himly, M., … Meisner-Kober, N. (2022). EVAnalyzer: High content imaging for rigorous characterisation of single extracellular vesicles using standard laboratory equipment and a new open-source ImageJ/Fiji plugin. Journal of Extracellular Vesicles, 11, e12282. https://doi.org/10.1002/jev2.12282