Experience faster image processing speeds by getting the most out of your compute resources with the HALO® Analysis Cluster Add-on. This add-on is ideal for groups looking to maximize their image analysis throughput and/ or minimize analysis job turnaround times by taking advantage of CPU resources available to their on-premise HALO deployments. HALO natively uses all available processing cores or threads to analyze multiple image tiles in parallel within a single image, but the Analysis Cluster Add-on takes this to the next level by enabling parallel analysis of multiple images. This dual parallelization can cut processing time by several fold depending on your server’s processing power.
Want to know more? Contact us at info@indicalab.com to discuss your options with an applications scientist.
File formats supported by the HALO image analysis platform:
- Non-proprietary (JPG, TIF, OME.TIFF)
- Nikon (ND2)
- 3D Histech (MRXS)
- Akoya (QPTIFF, component TIFF)
- Olympus / Evident (VSI)
- Hamamatsu (NDPI, NDPIS)
- Aperio (SVS, AFI)
- Zeiss (CZI)
- Leica (SCN, LIF)
- Ventana (BIF)
- Philips (iSyntax, i2Syntax)
- KFBIO (KFB, KFBF)
- DICOM (DCM*)
*whole-slide images
Related HALO Modules
Separate multiple tissue classes across a tissue using a learn-by-example approach. Can be used in conjunction with all other modules (fluorescent and brightfield) to select specific tissue classes for further analysis.
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The TMA Add-on provides a productivity-enhancing workflow for tissue microarray analysis by enabling automated, high-throughput segmentation and batch analysis of whole slide TMA images.
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Analyze serial tissue sections stained with different markers or a single tissue section which has been stained, stripped, and re-stained for multiple markers.
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