title: Fluorescence Lifetime Imaging Camera: Image Analysis, Optimization and Enhancement creator: Lin, Zhuang subject: ddc-004 subject: 004 Data processing Computer science description: Fluorescence lifetime imaging microscopy (FLIM) is an imaging technique for producing an image based on differences in fluorescence lifetimes. The present thesis is devoted to analyzing a novel Fluorescence Lifetime Imaging Camera (FLI-Cam) system. The principle of the applied camera system is based on the Time-of-Flight (ToF) technique, which was originally designed for 3D depth scene imaging. Such a camera provides a high frame rate and realizes direct nanosecond-range fluorescence lifetime sensing. The main scope of this thesis is to deliver an optimized solution and rapid sophisticated algorithm for the FLI-Cam system with high accuracy. New time-gated schemes and heterodyne modulation scheme for FLIM using the pulse-based and continuous-wave-based (phase-based) ToF camera, respectively, are presented. In order to optimize the performance of the FLI-Cam system, a thorough statistical analysis is implemented and the photon economy of our FLIM techniques is investigated. Various operation modes and experimental parameters for the measurement have been studied and optimized. The presented theoretical result is validated by numerical simulations using the Monte Carlo method and real experiments. For the enhancement of the FLIM images from our system, the vector-valued total variation technique is applied to improve the quality of FLIM images for the first time. It shows better performance than other existing approaches. date: 2012 type: Dissertation type: info:eu-repo/semantics/doctoralThesis type: NonPeerReviewed format: application/pdf identifier: https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/13546/7/zlin_diss.pdf identifier: DOI:10.11588/heidok.00013546 identifier: urn:nbn:de:bsz:16-opus-135465 identifier: Lin, Zhuang (2012) Fluorescence Lifetime Imaging Camera: Image Analysis, Optimization and Enhancement. [Dissertation] relation: https://archiv.ub.uni-heidelberg.de/volltextserver/13546/ rights: info:eu-repo/semantics/openAccess rights: http://archiv.ub.uni-heidelberg.de/volltextserver/help/license_urhg.html language: eng