Prostate Gleason Scoring-OptraSCAN Inc

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OptraScan
On-Demand Digital Pathology Affordable,
Subscription-based System

• Artificial Intelligence Machine Learning based
  System for accurate, rapid and reproducible
  analysis of Prostate Cancer
• Examination of histological specimens under the
  microscope by a pathologist is one of the most
  reliable methods used in detection of prostate
  cancer. This is carried out by examining the
  glandular architecture of the specimen by the
  most common method for histological grading of
  prostate tissue - the Gleason Grading System.
• The cancer tissue is classified from 1 to 5
  grades however, in the recent times, this
  common method is found to be ineffective, reason
  being
• Analysis on visual interpretation lacks
  reproducibility
• It is limited by intra- and inter-pathologist
  variability

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Our Machine-based scoring algorithms

• Our solutions to resolve the challenges appearing
  from Gleason Grading
• Fully automated solution End to end solution
  with robust and efficient algorithm modules.
• Intelligent Segmentation module that works on
  human perceptible color spaces to detect cell
  nuclei based on recognizable patterns like area,
  shape, intensity etc.
• Automatic detection of glandular lumens based on
  the clustering of identified cell nuclei and
  other features.
• Robust feature extraction module to extract
  structural, morphometric, texture, nucleo-
  cytoplasmic ratio and color features for
  detected cell nuclei and identified glandular
  regions.
• ANN (artificial neural network) based classifier
  
• Feature fusion and feature ranking techniques
  for representation to the Neural network based
  classifier.
• The classifier is trained to distinguish between
  moderately and poorly differentiated glands.
• Object level tumor grading is done using feature
  characteristics for malignant and benign cell
  nuclei like mean intensity, area, standard
  deviation of intensity etc.
• Key Differentiator
• Easily retrainable machine learning system.
• High classification accuracy.

Gleason score 336. Grade 1 Gland Formation
Discrete, well formed, uniform large glands
arranged back to back Legend Lumen Epithelial
nuclei Epithelial cell cytoplasm
Gleason score 448. Grade 4 Gland Formation
Fused, cribriform, poorly formed glands, punched
out lumens Legend Lumen Epithelial
nuclei Epithelial cell cytoplasm
Result Gleason Score 5510. Grade 5 Gland
Formation lacks gland formation, Solid sheet of
uniform neoplastic cells Legend Epithelial
nuclei
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OptraScan
On-Demand Digital Pathology Solutions
OS-15 15-slide bright?eld
OS-120 120-slide bright?eld
OS-FS 7-slide frozen sections, with live view
mode
OS-FL 15-slide ?uorescence, with 6 ?lter cubes
IMAGEPath
Web-based Image Management and Viewing
TELEPathTM
OptraASSAYSTM
Web and Mobile Digital Conferencing
On-Demand Image Analysis
CLOUDPath
Laboratory Information Management System
100 Century Center Court, Suite 410, San Jose,
CA 95112 All OptraSCAN systems and solutions are
for research use only
OptraSCAN is an ISO13485 certi?ed company