Light microscopy has probably always been the most essential tool in biological research. This ever improving technique has been making huge advancements even in recent years. Improved resolution, better signal detection, automation are just a few examples that make our life easier in the lab and our research more exciting. However, the growing amount of data we are able to collect using these advancements exceeds the human capability to deal with it.
Some people like to play for high stakes. So does Péter Horváth, head of the Biological Image Analysis and Machine Learning Group at the Biological Research Center, Szeged. He designs software and intelligent algorithms to carry out high-throughput analysis on millions of light microscopic images of biological samples. He developed methods which improve not just image quality and analysis, but also substitute manpower and make image analysis more reliable. Besides, he combines high-throughput light microscopy with machine learning and single cell analysis at the molecular level. With his laser dissection system he can pick out any cell from a brain tissue for further downstream applications such as genomics, transcriptomics, next generation sequencing, proteomics or other analytical techniques.
Having graduated as a computer programmer mathematician in 2003, he received a Ph.D in processing and analyzing satellite images at INRIA, France. After spending six years at ETH, Zürich he returned home and established his own laboratory. Peter is leading a truly interdisciplinary group, with a core team of mathematicians and computer scientists strengthened with biologists and engineers.
You will have the chance to learn more about Peter and his work at the Career Forum!
To learn more about him and his work please follow the links below!
We just sent you an email. Please click the link in the email to confirm your subscription!