Professor Peter Horvath gave a mini course «Microscopy image analysis»

Professor Peter Horvath gave a mini course «Microscopy image analysis» for students of computer .In his course he made stress on high-content screening (HCS), which includes cell biology, automated high resolution microscopy, informatics and robotics

High-content screening aims to discover small and large molecules (such as drugs, siRNAs) that change the phenotypes of cell in a desired manner. High-content analysis (HCA) refers to the analysis and evaluation of large data produced during an HCS scenario. Despite the fact that informatics was revolutionized recently, HCA suffers from the lack of solutions to the computational problems that arise and the limited computational capacity. To overcome these, recently numerous image analysis and machine learning approaches were proposed. This course gave an insight into the different most popular methods including automated microscopy, image processing, and multiparametric analysis of the data. During this course 10.000-100.000 images (virtually in this case) were created and we also  developed methods to analyze them using image segmentation and supervised machine learning.