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6 articles published in JoVE
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Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography
Yongyang Huang1, Jinyun Zou1, Mudabbir Badar1, Junchao Liu1, Wentao Shi5, Shunqiang Wang2, Qiongyu Guo3, Xiaofang Wang1, Sarah Kessel4, Leo Li-Ying Chan4, Peter Li4, Yaling Liu2,5, Jean Qiu4, Chao Zhou1,5,6
1Department of Electrical and Computer Engineering, Lehigh University, 2Department of Mechanical Engineering, Lehigh University, 3Department of Biomedical Engineering, Southern University of Science and Technology, 4Department of Technology R&D, Nexcelom Bioscience LLC, 5Department of Bioengineering, Lehigh University, 6Center for Photonics and Nanoelectronics, Lehigh University
Optical coherence tomography (OCT), a three-dimensional imaging technology, was used to monitor and characterize the growth kinetics of multicellular tumor spheroids. Precise volumetric quantification of tumor spheroids using a voxel counting approach, and label-free dead tissue detection in the spheroids based on intrinsic optical attenuation contrast, were demonstrated.
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Drosophila Preparation and Longitudinal Imaging of Heart Function In Vivo Using Optical Coherence Microscopy (OCM)
Jing Men1,2, Jason Jerwick2,3, Penghe Wu1,2, Mingming Chen3,4, Aneesh Alex2,3, Yutao Ma4, Rudolph E. Tanzi5, Airong Li5, Chao Zhou1,2,3
1Bioengineering Program, Lehigh University, 2Center for Photonics and Nanoelectronics, Lehigh University, 3Department of Electrical and Computer Engineering, Lehigh University, 4State Key Laboratory of Software Engineering, Wuhan University, 5Genetics and Aging Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School
Here, the experimental protocols are described for preparing Drosophila at different developmental stages and performing longitudinal optical imaging of Drosophila heartbeats using a custom optical coherence microscopy (OCM) system. The cardiac morphological and dynamical changes can be quantitatively characterized by analyzing the heart structural and functional parameters from OCM images.
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