Catch a glimpse of the interactive, dynamic image and data display. The image shows a human breast carcinoma sample stained with antibodies against CD3 and cytokeratin 5, amongst many others. Data were generated with the MACSima™ Imaging System.
MACS iQ View can easily display hundreds of images at once in a robust manner. This enables convenient grouping, filtering, coloring, and renaming of large image stacks. Analyze an unprecedented, large number of parameters, including cell-related features such as size, location, shape etc. and marker features such as fluorescence intensity, sum, and more.
The software’s dynamic data display enables you to gate cell populations or even select single cells on your plot and immediately see where they are located in the image or data table and vice versa.
MACS iQ View offer various cell segmentation options.
MACS iQ View allows you to perform unprejudiced analyses of a large number of features via t-SNE, UMAP, and k-means clustering, providing you with meaningful results.
MACS iQ View also offers various plotting options and the possibility to switch freely between plots.
This tool provides the easiest way to create a complex analysis workflow. You can track all the selections, gating, and combinations you applied during the analysis and can easily follow your whole train of thought. You can also save your workflow and reapply it to your replicate experiments to save time and avoid errors.
Instant comparison of staining patterns using values of correlation or covariance.
Distance mapping facilitates the definition of cell groups based on their position relative to your cells of interest.
Easy export of images and videos allows you to create composite images and highlight areas of interest for effective and compelling data presentation.
All data are accessible in several table formats and various export options to allow for downstream statistical calculations, for example. You can create tables with the features you need and the way you want.
The biomarker reference table allows you to establish your own database that simplifies the annotation of specific markers. It is pre-filled with a large range of biomarkers to provide you with a solid foundation. Simply add or modify the markers based on your research to make sure you interpret your results correctly and consistently. This table is also quickly linked to your MICS experiment and will recognize immediately the markers used with the MACSima Imaging System.
Microsoft® Windows® 10 (64-bit) version 1703 or later
Apple® MacOS 10.14.6 or later (up to Catalina) Linux
Recommended: 8 cores or more, released in 2016 or later
Minimum: 4 cores
Compatibility: Apple M1, Intel Core-i5 or higher, AMD Ryzen 3 or higher
Recommended MacOS: 16 GB or higher
Windows: 32 GB or higher
Recommended: 2 TB or more of M.2/NVMe SSD
Minimum: 500 GB SSD
For external drives: SSD connected with USB 3.0 or Thunderbolt
Recommended: 4K UHD (3840 × 2160 pixels) or more
Minimum: Full HD (1920 × 1080 pixels)
Recommended Type: Dedicated PCIe Nvidia® or AMD cards, released in 2016 or later
vRAM size: 8 GB of vRAM or more
Output ports: DP (DisplayPort), Thunderbolt™, HDMI 2.1
macOS®: Metal
Windows: Tessellation (vertex shading)
Sophisticated yet simple
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