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Monitor single-cell dynamics using optically computed phase microscopy in correlation with fluorescence characterization of intracellular properties

Monitor single-cell dynamics using optically computed phase microscopy in correlation with fluorescence characterization of intracellular properties
使用光学计算相位显微镜监测单细胞动力学与细胞内特性的荧光表征相关
批准号:
10589414
负责人:
Xuan Liu
金额:
$44.59万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-01-01 至 2025-12-31

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Project Summary The objective of this study is to develop a multi-modality imaging platform that integrates complex phase microscopy (CPM) based on optical computation and fluorescence microscopy (FM). We will use the imaging platform to correlate the sub-cellular dynamic motion and intracellular properties to study cell adhesion which plays an important role in many aspects of cell behavior. This study is significant for fundamental research, preclinical and clinical study, and technology development. By simultaneously imaging cell motion and organelle properties, CPM-FM enables the investigation of cell dynamics in correlation biomolecular characteristics. CPM-FM investigation of cell adhesion will result in better understanding of pathophysiology of different diseases, open the door to new methods for disease treatment and early diagnosis, lead to the development biomaterials that need specific interaction with cells, and benefit patients and clinicians. This study will also establish the feasibility of CPM as an imaging technology that allows non-invasive, and continuous monitoring of cell activities without contrast agents. We will achieve the objective of this study through developing the CPM imaging platform (Aim 1), investigating high-throughput single-cell dynamic imaging using CPM (Aim 2) and investigating the correlation between adhesive properties using CPM and cell viability using fluorescence microscopy (Aim 3). This project will provide a unique platform for undergraduate students to conduct research. Undergraduate research assistants will play major roles in cell imaging, image processing, and data analysis. Undergraduate research assistants participating in this study are exposed to multi-disciplinary research that will prepare them for a career in the fields of biomedicine.
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