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Development Of In Vivo And In Vitro Biological Molecules Fluorescence Imaging System

Posted on:2016-05-26Degree:DoctorType:Dissertation
Country:ChinaCandidate:B F SongFull Text:PDF
GTID:1108330485992756Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
In the field of medical imaging, photonics plays an increasingly important role in providing information on the structure and molecular aspects, provides an important tool for disease diagnosis and treatment, and opened up new perspective. The method has advantages of harmless, non-invasive, high-sensitive and multi-object imaging. In this paper, an in vivo near-infrared fluorescence three-dimensional positioning system with binocular stereovision, and a nucleic acid quantification system for on-site detection and diagnosis has been designed and constructed. The systems meet the forefront of the development in the field of medical imaging. The traditional in vivo fluorescence imaging equipment can provide single-view two-dimensional images only, but it cannot meet the needs for accurate positioning during the latest scientific research. The near-infrared in vivo fluorescence imaging system designed and constructed in this paper has the capability of deep source signal detecting and three-dimensional positioning. A three-dimensional coordinates computing (TDCP) method including a preprocess algorithm is presented based on binocular stereo vision theory. The function of it is to figure out the solution for diffusive nature of light in tissue and the emission spectra overlap of fluorescent labels. This algorithm is validated to be efficient to extract targets from multispectral images and determine the spot center of biological interests. Further data analysis indicates that this TDCP method could be used in three-dimensional positioning of the fluorescent target in small animals. The study also suggests that the combination of a large power laser and deep cooling charge-coupled device will provide an attractive approach for fluorescent detection from deep sources.Point-of-care (POC) is a laboratory-medicine discipline that tests can be performed near the patients and the results are rapidly available. It can eliminate the delays caused by transport and preparation of clinical samples and therefore, shorten the time to make clinical decisions. In developing countries, over 50% of the mortality rate is caused by infectious diseases. Rapid infectious disease testing is vital, especially considering the rapid increase of the prevalence of high-risk pathogens is worldwide. Nowadays nucleic acid tests are promising to be considered as point-of-care testing (POCT). The nucleic acid quantification system for on-site detection and diagnosis, which is designed and constructed in this paper, can perform absolute nucleic acid determination, worldwide on-site detection, rapid analysis and real-time results reporting via ubiquitous mobile networks simultaneously in low-cost, portable and automated manner. A disposable self-priming compartmentalization (SPC) microfluidic chip is used to conduct isothermal amplification. The platform also includes a micro-computer controlled heating unit, inexpensive optical imaging setup, and a mobile device with customized application. The microfluidic chip for the platform contains 1024 independent 2 nL chambers for digital loop-mediated isothermal amplification at the single-molecule level, which is made mainly with PDMS, and is vacuum packaged. Experiment result shows that the digital LAMP platform is capable of accurately determining absolute DNA concentration.This system has important value for on-site detection of infectious diseases.In summary, the systems designed and constructed in this paper using medical imaging technologies, meet the urgent needs of biomedical applications, provide new methods for life science research and disease diagnosis, have great significance.
Keywords/Search Tags:biomedical imaging, in vivo optical imaging, three-dimensional positioning, binocular stereo vision, digital nucleic acid amplication, on-site detection, mobile health
PDF Full Text Request
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