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a high throughput
image processing application

Quantify thousands of images
using your individual processing pipelines

Installation Documentation

ImageC highlights

Fast processing pipelines for big data sets

ImageC is implemented in C++, one of the fastest programming languages and efficiently uses all available CPU resources (multi threading support). With the focus on hight throughput analyzes, ImageC allows processing times down to 0.2 seconds per image, allowing the analysis of thousands of images in a reasonable time.

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Analysis of fluorescence and brightfield images

ImageC enables object detection and quantification in fluorescence images. Analysis and cross channel quantification can be applied to any number of channels. e.g. Measurement of fluorescence intensity per cell.

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Analysis of histological images

ImageC enables the analysis of huge histological images, taken by fluorescence and light microscopy. e.g.: Color picker enables to distinguish cellular compartments based on color.

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BioFormats support

All common image formats used by different microscope manufacturers are supported thanks to BioFormats integration.

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Multi channel images

ImageC automatically extracts underlying image infos (e.g. channel infos, Z-stack infos, etc. ) using OME-XML which allows to directly use multi channel (c, t and z-stack) images.

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Big data organization

ImageC stores all the pipeline results into an integrated in-process SQL database (DuckDb) using a predefined data structure. The flexibility of the database matched with an easy to use GUI enables basic data postprocessing and comparison.

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Data export

The data are stored as an compressed database file and can be exported for further processing to R or Excel. Custom export templates can be used for the creation of individual data sets.

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Image/Data grouping

Automated image grouping based on well formats, image names using regex or directory structure can help to organize data output. AVG, MEDIAN, MAX, MIN, STDEV, SUM and CNT are automatically calculated from multiple images within a group.

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Image/Data Filtering

ImageC allows to define data filters, removing images from the report based on customized criteria. e.g. remove Images without cells.

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Heatmaps

ImageC can generate heatmaps of images or image groups (e.g. plates. wells), enabling a quick assessment of the data.

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Interactive results

Browse through your results to see the selected objects in the original image. The interactive mode allows really to observe each individual detected object within the origin image.

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Pipeline creation

ImageC enables the creation of individual image processing pipelines for object detection. A set of widely used image processing algorithms ported from ImageJ, including background subtraction algorithms, filtering, edge detection and manual as well as auto-threshold are implemented and can be used for pipeline creation.

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Live preview

ImageC offers a live preview enabling to monitor the impact of all image processing steps within the pipelines and thereby provides transparent and understandable object detection.

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AI driven object detection

In addition to classical image processing and thresholding algorithms ImageC supports object detection and classification based on AI. ImageC supports the ONNX container format with net hight and with of 640 x 640 and a stride size of 3.

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Reuseable and sharable pipelines

ImageC is designed for reproducible image analysis.

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Generation of control images

ImageC generates user defined control images, for documentation and internal control.

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Pipeline templates

EVAnalyzer and its successor ImageC where created within a research group focused on extracellular vesicles. ImageC provides powerful pipelines especially for single vesicle imaging applications.

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Distance measurement

The ImageC distance measurement feature automatically calculates distances across different object classes. Together with time frame support, this enables the quantification of low-level object tracking.

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Installation

ImageC is open source and available for different operating systems

More installation options
  • Linux
  • Windows
  • MacOs

Latest release: ImageC v1.1.0-beta.1 | System detected: