Graduate Seminar Series: Molecular Stream
Graduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for molecular stream presenters.
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Presentation Title: Multi-axes electromagnetic sample handler for live imaging of organoids structure and dynamics
Organoids are a flexible experimental model to explore countless human conditions. They can emulate essential specific functions of an in vivo system in physiological and pathological conditions. Acquiring three-dimensional (3D) volumetric images is critical while challenging in many live organoid-based studies due to these sample structures. Non-idealities worsen as more profound images are acquired. Furthermore, there are unavoidable distortions from the imaging system. Current methods to decrease these issues are often expensive, highly complex, limited to specific usage, or unsuitable for live organoid experiments.
By increasing the samples’ freedom of movement within the microscope field of view for imaging samples at different angles, these non-idealities can be minimized. We are developing a spherical-shaped electromagnetic sample handler to provide a multi-axis rotational imaging system. The sample handler has evenly distributed electromagnets individually controlled by an open-loop micro-stepping control system. It controls the electromagnetic sample handler over samples’ x-y-z-theta space. Methods were developed to measure the sample handler quality, rotation precision, handling, and imaging stability.
An image reconstruction methodology is coded to minimize light penetration limitations, and the same will be made for the point spread function distortion in the z axis. An optimization algorithm will select the optimum angle, which better shows the organoid structure and dynamics. The algorithm will use images from different angles to build the reconstructed image, reducing non-idealities for thicker live organoids. The algorithm’s validation will be made with a nano printed sample.
Image acquisition through this device will better represent biological specimens and promote more precise quantitative microscopy analyses. It can improve the quality of live 3D organoid images by optimizing angular positioning during imaging acquisition, reducing non-idealities and working distance limitations. It is a cost-effective, robust, and user-friendly tool, and it will open new possibilities for organoid research.
Supervisor Name: Christopher Yip
Year of Study: 3
Program of Study: PhD
Zoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09
Meeting ID: 896 1037 2821
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