HemaScan-Hematology Imaging & Digital Morphology System
A Completely Automated Microscopic Hematology Image Analyzer with WBC Differential Count and Classification along with Platelet and RBC estimation with the advantage of Cloud Sharing and Tele-Reporting.
Automated Microscopic Hematology Image Analyzer
HemaScan is World’s most Economical one of its kind Microscope based Hematology Imaging System with WBC differential, RBC and Platelet estimation.
It is an inbuilt microscope with AI integrated software system to provide accurate blood result as per standards.
This technology is based on Peripheral Blood Smear Examination where 100X Objective lens is used for WBC Differential count and Classification.
Digital Morphological & AI Analysis Solution
The WBC, RBC and Platelet reporting is done based on AI and morphological based algorithms based on dataset.
The captured WBCs are automatically pre flagged into different differential types which the user can verify, edit and revise before final reporting.
Cloud Sharing & Tele-Reporting
The report data can be uploaded to cloud shared easily to anyone remote in the world for Tele-Reporting and Tele-Pathology.
Salient Features of HemaScan
Fast and accurate scan of the peripheral smear images.
Accurate detection of WBC location on smear slide.
Capture of individual WBC images at true 100X objective with proper mapping of their location on the slide image.
Automatic counting and classification of WBC Differential.
Captured WBCs are automatically flagged into Differential types which can be further modified if required.
Enhanced Interactive provision for edit, preview and revise the preliminary results.
Dedicated Cloud Sharing Platform provides option for sharing of all images and results to anyone in the world over internet.
Various doctors can be connected over this dedicated single cloud platform online for Tele-Reporting and Tele-Consultation.
Measurements and Annotations can be performed on live as well as captured individual or scanned images.
Module for automatic study of morphological features of the cells.
Automatic detection module for Malaria and Tuberculosis (TB).