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DTSTART;TZID=America/Los_Angeles:20250825T090000
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DTSTAMP:20260426T202421
CREATED:20250819T070000Z
LAST-MODIFIED:20250925T231630Z
UID:10000115-1756112400-1756112400@events.ucsc.edu
SUMMARY:Hawthorne\, N. (ECE) - An Out-of-the-Incubator Platform for Fluorescent Neural Monitoring and Stimulation Experiments
DESCRIPTION:Live-cell fluorescence microscopy enables high-resolution\, non-invasive imaging and optical stimulation of biological processes\, yet existing systems are often prohibitively expensive\, mechanically complex\, and poorly suited for wide field-of-view\, high-speed\, multi-channel experiments—particularly those involving optogenetics. To address these limitations\, I developed a low-cost\, modular fluorescence microscope constructed from 3D-printed mechanical components and off-the-shelf optics. I also contributed to the engineering of the incubator to support long-term live-cell imaging. The platform accommodates multi-channel fluorescence imaging with simultaneous optogenetic stimulation\, features configurable optical paths for different fluorophores\, offers motorized positioning via a 3-axis manipulator\, enables dual-camera alignment for concurrent imaging\, and incorporates integrated brightfield capability. \nThe system’s performance was demonstrated by imaging mScarlet and GCaMP6f fluorescence in live human forebrain organoids\, enabling visualization of single neurons and calcium dynamics. This thesis presents a detailed evaluation of the microscope’s optical\, mechanical\, and electronic subsystems\, alongside biological validation using both the microscope and stage-top incubator. An in-well media perfusion device is proposed to further enhance tissue spheroid experiments. All 3D-print files and component specifications are provided to facilitate replication and adaptation by future researchers. The resulting open and modular platform offers a cost-effective\, high-performance alternative for advanced fluorescence microscopy and optogenetic studies\, improving tissue culture monitoring and experimental throughput while identifying remaining challenges and opportunities for further innovation in the field. \nEvent Host: Nico Hawthorne\, Ph.D. Candidate\, Electrical & Computer Engineering
URL:https://events.ucsc.edu/event/hawthorne-n-ece-an-out-of-the-incubator-platform-for-fluorescent-neural-monitoring-and-stimulation-experiments/
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DTSTART;TZID=America/Los_Angeles:20250825T180000
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DTSTAMP:20260426T202421
CREATED:20250605T070000Z
LAST-MODIFIED:20250925T231312Z
UID:10000033-1756144800-1756144800@events.ucsc.edu
SUMMARY:Learn to build AI Applications
DESCRIPTION:Explore the future of AI with Praveen Krishna\nJoin Program Chair and AI expert Praveen Krishna for an insider’s look at the University of California’s first certificate in AI Application Development. Learn about the growing number of jobs involving AI\, the skills you'll need to build a competitive resume\, and the UCSC Silicon Valley classes that will support your development.  \n\nGet career-ready AI skills \nTaught by Silicon Valley leaders\, this program helps you master machine learning\, advanced AI techniques\, and portfolio-building projects. Whether you're in tech\, research\, or career transition\, this certificate gives you the skills to stand out in a fast-growing field. Don’t miss this chance to learn from the expert guiding the future of AI talent. \nThis info session event is sponsored by the AI Application Development Certificate program.
URL:https://events.ucsc.edu/event/ai-application-development-info-session-2/
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training
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