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X-WR-CALDESC:Events for Beckman Laser Institute
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DTSTART;TZID=UTC:20190404T120000
DTEND;TZID=UTC:20190404T130000
DTSTAMP:20190227T084914Z
CREATED:20190125T025111Z
LAST-MODIFIED:20190227T084914Z
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SUMMARY:Vincent Daria\, PhD
DESCRIPTION:Applied Physics\nFellow\, Group Leader (Neuro-photonics Group)\nANU College of Health and Medicine\nAustralian National University Canberra\, AU \n  \nUsing Complex Light Patterns To Understand Brain Circuits\nWe aim to understand how information is processed in cortical circuits of the mammalian brain.  To achieve this\, we use complex light patterns to stimulate and record the activity of single cortical neurons in a rat brain slice.  We use holographic projection of an ultrafast laser to produce multiple foci\, where each focus emulates a synaptic input or an optical recording probe. To emulate synaptic inputs\, multiple foci are directed onto spines of a neuron and gated illumination enables localized two-photon (2P) photolysis of caged neurotransmitters. Patterned spatio-temporal release of neurotransmitters onto multiple spines allows us to study the input-output characteristics of single neurons in the cortex. As an optical recording probe\, each focus excites neuronal activity reporters via 2P multi-foci excitation.  The fluorescence emanating from all foci are simultaneously recorded using an electron-multiplying charge-coupled device (EMCCD) camera thereby enabling simultaneous multi-channel recording of the neuronal activity from multiple sites.  We report recording of neuronal activity from two types of reporters: (1) calcium indicator\, Cal520; and (2) voltage indicator\, JPW1114.  We optically recorded the activity evoked by the neuron following injection of current onto the soma. Using this technique\, we have uniquely identified a crucial function of a specific set of dendrites for learning and memory. Moreover\, we can disable such function by prunning the specific dendrite via highly targetted femtosecond laser dendrotomy. Using complex light patterns to understand the input-output transfer function of single neurons enables bottom-up approach to understand information processing in the brain. \nFor more information or to schedule a meeting with the speaker\, please contact Hanna Kim.\nHosted by Dr. Daryl C Preece
URL:https://bli.uci.edu/event/vincent-daria-phd/
LOCATION:BLI Library
ATTACH;FMTTYPE=image/jpeg:https://bli.uci.edu/wp-content/uploads/2019/01/daria.jpg
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DTSTART;TZID=UTC:20190425T120000
DTEND;TZID=UTC:20190425T130000
DTSTAMP:20190404T234907Z
CREATED:20190125T041910Z
LAST-MODIFIED:20190404T234907Z
UID:7355-1556193600-1556197200@bli.uci.edu
SUMMARY:Xiaolin Nan\, PhD
DESCRIPTION:Department of Biomedical Engineering\nOregon Health & Sciences University\nPortland\, Oregon \nVisualizing Tumor Biology: From Single Molecules to Systems\nCancer is a systems disease that arises from complex molecular abnormalities\, whereby effective treatment requires insight into tumorigenesis at multiple levels – from individual molecules to whole cells and tumors. Research in our laboratory aims to build multiscale\, systems-level models of tumorigenic signaling by leveraging recent developments in single-molecule\, superresolution\, and correlative light – electron microscopies. Using the human epidermal growth factor receptors (e.g. HER2) and the Ras small GTPases as model systems\, we will showcase how quantitative imaging at the single-molecule and nanometer scales reveals previously unknown aspects of these common oncogenic drivers. These findings underscore the importance of studying tumor biology within the intact spatial and biological context\, which current omics-based systems-biology approaches have largely overlooked. We will also discuss ongoing efforts toward constructing spatially-integrated models of tumorigenic signaling networks through multiplexed and high-throughput superresolution imaging\, as well as the implications of our findings in targeted cancer therapies. \nFor more information or to schedule a meeting with the speaker\, please contact Hanna Kim.\nHosted by Dr. Eric Potma
URL:https://bli.uci.edu/event/xiaolin-nan-phd/
LOCATION:BLI Library
ATTACH;FMTTYPE=image/jpeg:https://bli.uci.edu/wp-content/uploads/2019/01/nan.jpg
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