Mats Kvarnström

"Statistical tools in quantitative imaging"

Abstract: Quantitative imaging is when one not only describes
qualitatively what is observed in images, but instead measures various
entities extracted from the images. Since the amount of images is
typically huge, this is a very tedious task for humans. Therefore
computer assistance is needed and statistical image analysis plays a
vital role for the successful extraction of information. The need for
competence in mathematical statistics in quantitative imaging for
systems and cell biology, where the data often consists of large sets
of images, is immense.

I will here present two examples of quantitative imaging: positioning
and tracking of sub-micrometer spherical particles, and cell
recognition and the localization of proteins in cells.  Both examples
use images from wide-field microscopy (bright-field and fluorescence
microscopy).  Focus will be on various statitistical tools and
challenges.