MPI Colloquia Series: Prof. Dr. Gene Myers, Computer Vision and Computational Optics for Bioimage Informatics

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MPI Colloquia Series: Prof. Dr. Gene Myers, Computer Vision and Computational Optics for Bioimage Informatics

  • Date: Nov 30, 2017
  • Time: 04:00 - 05:00
  • Speaker: Prof. Dr. Gene Myers
  • Director, Center for Systems Biology, Max Planck Institute for Molecular Cell Biology and Genetics, Dresden
  • Location: Max Planck Institute Magdeburg
  • Room: Big Seminar Room "Prigogine"
  • Contact: sek-csc@mpi-magdeburg.mpg.de

The Max Planck Institute Magdeburg invites you to its series of colloquia. Top-class scientists, invited by the Max Planck Institute Magdeburg, give a survey of their research work. Everybody who is interested, is invited to attend.

Abstract

Our group has been actively pursuing the idea that with great microscopes and great informatics we will be able to truly digitize models of cells, tissues, and organisms through time with information about the genetic and proteomic states of each cell layered there on. The belief is that these atlases combined with optical observations of labeled entities will accelerate the life sciences by allowing us to visualize these systems from any vantage point and as a system, thus leading to many discoveries such as the nature of the genetic control of fly wing development.

Since arriving in Dresden five years ago we have made significant progress on hard segmentation and tracking problems with the use of AI techniques developed in the computer vision community. We will present several examples of current projects that exemplify various such techniques and present the quality of results we obtain with them.

Despite these improvements we still find ourselves at the limit of what can be determined because of the limited resolution and contrast of the imagery. Fortunately, advances in microscope componentry such as adaptive optics, spatial light modulators, and ultra high-speed cameras present opportunities for improving the underlying imagery. We will report on two microscope development projects in our lab, where the aim is to improve resolution by making multiple observations of a volume and from them computing a better reconstruction of the object under observation using deep neural networks. We think better microscopy through computation and dynamic onboard control of acquisitions is an emerging trend that we generally call computational optics.