Pathology

TissueMark

Computational pathology

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

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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Computational pathology


TissueMark is our innovative research application for the automated detection and analysis of tumor cells on H&E stained tissue sections. It employs powerful algorithms for research into:
 
  • Lung cancer
  • Breast cancer

You will enjoy automatic analysis of your tissue samples via a quantitative visual heat map of tumor probability. Color-coded, this provides information on tumor location and differentiation from stroma, inflammation, and necrosis.

Features
Automated analysis for accurate quantification
Automated analysis for accurate quantification

Automated analysis for accurate quantification

TissueMark imaging algorithms automatically annotate the tumor boundary for you. This can be used to provide a tissue map for macrodissection. TissueMark also measures the percent of tumor nuclei to ensure sample quality and sufficient tumor nucleic acid for molecular profiling.
Cost effective
Cost effective

Cost effective

Support streamlining the evaluation of new molecular assays by automating the markup and tumor cell content in H&E samples. This enables you to make the adoption of new molecular tests practical and cost effective.
Instil accuracy and consistency
Instil accuracy and consistency

Instil accuracy and consistency

Opens the pathway to significantly improve workflow and establish accuracy, consistency and quality in molecular pathology.
Improve turnaround time
Improve turnaround time

Improve turnaround time

Biomarker discovery in solid tumors is accelerated, this could significantly speed up the turnaround time for macrodissection in large studies.

Specifications Show all

Minimum hardware requirements
CPU
Dual-core @1.65GHz
RAM
3GB of physical RAM memory
Screen Resolution
1024x768
Browser
Firefox (latest), IE (latest), Chrome (latest)
Hard Drive
240GB SATA
Operating system
Most recent web browser
Other software
A PDF reader (e.g. Adobe Acrobat Reader)
Connectivity
100Mbit or 1Gbit Ethernet connection to internet/intranet