Scientific publications from Vironova’s ultrastructural pathology collaboration

Vironova is the leader of the research project: “A smart and easy platform to facilitate ultrastructural pathologic diagnoses.” Through our CTO, Ida-Maria Sintorn, PhD, Vironova has the role of project leader as well as scientific contributor.

Our goal is to adapt MiniTEM™ for simplifying and automating image acquisition, processing and report generation.

We are now proud to announce that two new scientific publications have been produced from the project concerning automated transmission electron microscopy (TEM) tissue section analysis in the field of pathology (entitled “Convolutional Neural Networks for False Positive Reduction of Automatically Detected Cilia in Low Magnification TEM Images” and “Enhancement of Cilia Substructures by Multiple Instance Registration and Super-Resolution Reconstruction”)

The papers will be presented at the Scandinavian conference on image analysis, Tromsö Norway 11-14 June.
Papers are blindly peer-reviewed and the proceedings will be published in the Elsevier Series: Lecture Notes in Computer Science after the conference.