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TissueMark

Computational pathology

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Analyze solid tumor tissue samples in research applications fast and enhance the quality and reliability of macrodissection, nucleic acid extraction, and molecular profiling.

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Improve the quality of molecular tests with accurate ROI and cellularity guidance
Improve the quality of molecular tests with accurate ROI and cellularity guidance

Improve the quality of molecular tests with accurate ROI and cellularity guidance

Given the inter-pathologist variation that is widely acknowledged3 in the industry, TissueMark macro dissection boundary suggestions show a higher acceptance by pathologists. TissueMark also measures the percent4 of tumor nuclei to ensure sample quality and sufficient tumor nucleic acid for molecular profiling. TissueMark deep learning algorithms are trained to identify cellular structures from other morphology and classify identified cells into tumor vs non-tumor cells.
High throughput, intuitive workflow to save valuable time of lab personnel
High throughput, intuitive workflow to save valuable time of lab personnel

High throughput, intuitive workflow to save valuable time of lab personnel

TissueMark is an easy-to-use, intuitive tool that is aligned to the needs of the modern day molecular lab. TissueMark helps organize and dispatch whole slide images rather than slide trays with glass slides which require manual sorting, preparation and logistical transport. The application provides automatic organization of the worklist of a pathologist. In comparison to the current glass based workflow, the pathologist5 can view the entire worklist assigned to get an overview of the pending, completed, and urgent work.
Interoperable with Philips IntelliSite Pathology Solution
Interoperable with Philips IntelliSite Pathology Solution

Interoperable with Philips IntelliSite Pathology Solution

TissueMark is inter-operable with Philips IntelliSite Pathology Solution (PIPS) and via PIPS with your Laboratory Information System (LIS), thereby enabling automatic execution of algorithms on whole slide images (WSI) that are chosen for molecular testing.
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TissueMark algorithms are designed for fast execution with a runtime of 60 seconds6 on every whole slide image across the tissue types supported. Fast algorithm execution combined with the workflow design ensures that the pathologist always has the results when they begin to review the slide, thereby saving valuable pathologist minutes in the lab.

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What does this mean?

Accurate and reliable tumor estimation powered by Deep Learning


TissueMark is a key offering in our computational pathology portfolio that assists the user to examine the region of interest for macro dissection by:
 
  • Visualizing the region of interest (ROI) and
  • Indicating the estimated cellular profile in the region of interest

TissueMark enables region of interest detection and cellular profile estimation in digital whole slide images of Lung Histology, Lung Cytology, Breast and Colon2 formalin-fixed paraffin embedded, H&E stained tissue samples. The algorithms are trained to work on Philips iSyntax image format. The application provides three levels of visualization – a macro dissection boundary, a visual heat map of tumor density and, at higher magnification, cellular visualizations. Color-coded, this enables differentiation of the region of interest from stroma, inflammation, lymphocytes and necrosis thereby providing an accurate macro dissection boundary for further molecular testing.

Literature

 

  • ¹ TissueMark is not for diagnostic, monitoring or therapeutic purposes or in any other manner for regular medical practice