Improved region of interest selection and colocalization analysis in three-dimensional fluorescence microscopy samples using virtual reality.

ABSTRACT: Although modern fluorescence microscopy produces detailed three-dimensional (3D) datasets, colocalization analysis and region of interest (ROI) selection is most commonly performed two-dimensionally (2D) using maximum intensity projections (MIP). However, these 2D projections exclude much of the available data. Furthermore, 2D ROI selections cannot adequately select complex 3D structures which may inadvertently lead to either the exclusion of relevant or the inclusion of irrelevant data points, consequently affecting the accuracy of the colocalization analysis. Using a virtual reality (VR) enabled system, we demonstrate that 3D visualization, sample interrogation and analysis can be achieved in a highly controlled and precise manner. We calculate several key colocalization metrics using bo

SUBMITTER: Theart RP 

PROVIDER: S-EPMC6114514 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature