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Коллоквиум ФКН: "Life beyond the pixels: Drug discovery using machine learning and image analysis methods". Докладчик: Peter Horvath Hungarian Academy of Sciences, Biology Research Institute, and Finnish Institute for Molecular Medicine

Мероприятие завершено

In this talk I will give an overview of the computational steps in the analysis of a single cell-based large-scale microscopy experiments. First, I will present a novel microscopic image correction method designed to eliminate vignetting and uneven background effects which, left uncorrected, corrupt intensity-based measurements. New single-cell image segmentation methods will be presented using energy minimization methods. I will discuss the Advanced Cell Classifier (ACC) (www.cellclassifier.org), a machine learning software tool capable of identifying cellular phenotypes based on features extracted from the image. It provides an interface for a user to efficiently train machine learning methods to predict various phenotypes. For cases where discrete cell-based decisions are not suitable, we propose a method to use multi-parametric regression to analyze continuous biological phenomena. Finally, to improve the learning speed and accuracy, we recently developed an active learning scheme which selects the most informative cell samples.


References:  

Molnar, J., Molnar, Cs., Horvath, P. (2016) 
An object splitting model using higher-order active contours for single-cell segmentation. 
ISVC 16  

Horvath, P., Aulner, N., Bickle, M., Davies, A., Del Nery, E., Ebner, D., Montoya, M., Ostling, P., Pietiainen, V., Price, L., Shorte, S., Turcatti, G., von Schantz, C., Carragher, N. (2016) 
Screening out irrelevant cell-based models of disease 
Nature Reviews Drug Discovery  

Molnar, Cs., Jermyn, I., Kato, Z., Rahkama, V., Ostling, P., Mikkonen, P., Pietiainen, V., Horvath, P. (2016) 
Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours 
Scientific Reports - Nature 

Molnar, J., Szucs, IA., Molnar, Cs., Horvath, P. (2016) 
Active contours for selective object segmentation 
IEEE WACV 16 

Piccinini, F., Kiss, A., Horvath, P. (2015) 
CellTracker (not only) for dummies. 
Bioinformatics (Oxford) 

Smith K., Li Y., Piccinini F., Csucs G., Balazs C., Bevilacqua A., Horvath, P. (2015) 
CIDRE: an illumination-correction method for optical microscopy. 
Nature Methods 

Banerjee, I., Miyake, Y., Nobs, S. P., Schneider, C., Horvath, P., Kopf, M., Matthias, P., Helenius, A., Yamauchi, Y. (2014) 
Influenza A virus uses the aggresome processing machinery for host cell entry. 
Science 

colloquium 21/02/2017


Место проведения:


21 февраля,
18:10 – 19:30
Кочновский проезд, 3, ауд. 205

Заказать пропуск на проход в зданиеможно на computerscience@hse.ru