title: Analysis of lipid vesicle populations from microscopy video sequences.
abstract: Conducting research on lipid vesicles is very convenient, since they provide a stable and controllable environment for in vitro observations. Their resemblance to biological cell membranes allows biologists to assess hazardous potential of nanoparticles by exposing the vesicles instead of live organisms. When considering behavior of vesicles during incubation with nanoparticles, majority of existing research focus on observing single vesicles only. Our approach provides an ability to observe thousands of lipid vesicles for more representative behavior estimation. We developed an efficient algorithm to transform video sequences acquired with video microscopy into quantitative data. This includes steps required to filter noise, use multiple frames for more precise content presentation, detection of regions of interest, and segmentation of circular and non-primitively shaped vesicles. Presented work is a crucial step towards the creation of an automated computer analysis for lipid vesicles behavior assessment.
authors.affiliation: Faculty of Computer and Information Science, University of Ljubljana, Slovenia. jernej.zupanc@fri.uni-lj.si
authors.forename: Jernej
authors.initials: J
authors.lastname: Zupanc
authors.forename: Erhan
authors.initials: E
authors.lastname: Bas
authors.forename: Deniz
authors.initials: D
authors.lastname: Erdogmus
mesh_terms: D016002:Discriminant Analysis; D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted; D008055:Lipids / Q000032:analysis*; D018715:Microscopy, Video / Q000379:methods*; D053835:Unilamellar Liposomes / Q000032:analysis*
chemical_list: D008055:Lipids; D053835:Unilamellar Liposomes