Microscopic image processing

Main research areas

  • design and development of algorithms for segmentation and classification of cells in image data
  • design and development of algorithms for assessing cell viability in image data in different types of experiments
  • design and development of image processing methods in quantitative phase microscopy
  • analysis of images and data obtained in experiments on cells or tissue structures

Main practical research results

  • implementation of a methodology for the evaluation of cell stiffness during the application of shear stress in flow chambers
  • a set of cell segmentation algorithms in images from different imaging modalities

Projects/Industrial contracts