Project duration:
November 2020 - October 2024
SEARCH
searching the perfect one
Project summary:
Often cell populations are analysed by looking at average values of a population, such as size, shape and expression of proteins. However, a cell population is not homogeneous; it consists of different individual cells with different responses to stimuli. Microfluidic technologies are a perfect tool to analyse the properties of individual cells. For example, the beating of individual spermatozoa can be measured by using electrical impedance measurements and computer vision based analysis.
The SEARCH project will improve the single cell analysis on a microfluidic scale, with robust image processing and machine learning techniques. The multidisciplinary approach of the SEARCH project will generate more knowledge about the heterogeneity of cells in population and their individual response on different stimuli, but also serves as base to choose the best cells of a population.
Furthermore, the project aims and integrating machine learning and AI with microfluidics chips in an embedded framework. Application areas of the projects are: (1) crop improvement in collaboration with Keygene and (2) spermatozoa analysis in collaboration with Radboud UMC.
Project Leader:
Funding:
EEMCS
