MACS® iQ View

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.  

• For high convenience and fast processing rely on the proven and most frequently used two-step algorithm, consisting of (a) nuclear segmentation based on the watershed method and (b) the constrained donut method based on your favorite markers for cytoplasmic segmentation.
• Use the superpixel method to achieve image-based segmentation, perfect for samples with complex cells (e.g. neurons) or non-nucleated cells.
• You can also import a segmentation mask if you want to draw on your established, familiar workflow.

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.

• Histograms allow you to display a single feature for one group of cells, showing the cells’ distribution.
• Scatter plots can depict two features such as the expression levels of two markers. Additionally, a third feature can be visualized through a color gradient, indicating either the distribution density for the two chosen features or the expression level of a third marker, for example.  
• Strip and violin plots illustrate multiple features within a cell group.
• Heat maps facilitate the comparison of various features between several cell groups. 

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. 

Distance mapping facilitates the definition of cell groups based on their position relative to your cells of interest.

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)