HIGH-THROUGHPUT FLUORESCENCE MICROSCOPY FOR AUTOMATED CLINICAL APPLICATIONS

dc.contributor.advisorLiu, Hong
dc.contributor.authorLi, Zheng
dc.contributor.committeeMemberZheng, Bin
dc.contributor.committeeMemberLi, Shibo
dc.contributor.committeeMemberSluss, James
dc.contributor.committeeMemberCheng, Qi
dc.date.accessioned2017-05-11T15:40:10Z
dc.date.available2017-05-11T15:40:10Z
dc.date.issued2017-05-12
dc.date.manuscript2017-04-02
dc.description.abstractFluorescence in situ hybridization (FISH) is a powerful tool for visualizing and detecting genetic abnormalities. Manual scoring FISH analysis is a tedious and labor-and-time-consuming task. Automated image acquisition and analysis provide an opportunity to overcome the difficulties. However, conventional fluorescence microscopes, the mostly used instrument for FISH imaging, have deficiencies. A multi-spectral image modality must be employed in order to visualize fluorescently dyed FISH probes for analysis, and the existing technologies are either two expensive, too slow, or both. Aiming at upgrading the current employed cytogenetic instrumentation, we developed a new imaging technique capable of simultaneously imaging multiple color spectra. Using the principle, we implemented a prototype system and conduct various characterization experiments. Experiment results (<1% peripheral geometric distortion, consistent signal response linearity, and ~2000 lp/mm spatial resolution) show no significant compromise in terms of optical performance. A detector alignment scheme was developed and performed to minimize registration error. The system has significantly faster acquisition speed than conventional fluorescence microscopes albeit the extra cost is quite insignificant.en_US
dc.identifier.urihttp://hdl.handle.net/11244/50778
dc.languageenen_US
dc.subjectFluorescence Microscopyen_US
dc.subjectFluorescence in situ hybridizationen_US
dc.subjectMicroscopic Imagingen_US
dc.subjectAutomated Microscopyen_US
dc.thesis.degreePh.D.en_US
dc.titleHIGH-THROUGHPUT FLUORESCENCE MICROSCOPY FOR AUTOMATED CLINICAL APPLICATIONSen_US
ou.groupCollege of Engineering::School of Electrical and Computer Engineeringen_US

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