4 Java/JavaFX developers, 1 QA specialist, 2 web specialists
Java, Java SE, JavaFX, Spring Boot, MySQL, TypeORM, ImageMagick, H2 Database, Liquibase, Apache FOP, Hibernate, dcm4che, Angular, Angular Material, NestJS (Express, Node.JS)
Innovative Swiss digital microscopy startup, a spin-off from the Swiss Federal Institute of Technology (EPFL), that enables a global mapping of a lumpectomy for full margin control with histology-grade confidence in a few minutes before closing the incision.
To develop imaging solutions allowing clinicians be one touch-on-the-screen away from visualizing cancerous cell on a surgical specimen immediately during surgery.
The set of tools includes:
- production grade GUI application for the ultra-high resolution scanner to visualize tissue specimen. Its goal is to operate scanner hardware and collections of images on a wide touch screen and provide smooth real time performance with gigabyte size images;
- standalone offline viewer with advanced annotations that works with the images imported from the scanner devices. The tool helps pathologists delineate precisely cancerous zones on the images and allows importing annotations produced by several different pathologists on their off-line viewers in order to define consensus between their corresponding annotations;
- performance assessment web app that is used by study physicians to assess their level of recognition of breast cancer in surgical specimen;
- separate module (library) that provides support with converting tiff images into the DICOM format with zero error in validation;
- license management server generating unique keys for products license purchasing (in early development).
Now the product operates under trial in several European hospitals successfully and has been advancing with the AI and Machine Learning. On a higher level the company now focuses more on strategic marketing and sales to incorporate the scanner and its software into medical institutions and organizations on a larger scale.