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DTSTART;TZID=America/Los_Angeles:20240606T120000
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SUMMARY:Tadej Tomanic\, MSc
DESCRIPTION:Biomedical hyperspectral imaging of murine tumors in the preclinical environment\nAbstract \nBiomedical hyperspectral imaging (HSI) is an emerging non-invasive optical imaging technique that captures spatial and spectral information of the imaged biological tissue. In recent years\, HSI has been widely used to image human and animal tumors in the brain\, breast\, colon\, prostate\, and skin. This talk will cover the recent advancements in hyperspectral imaging for biomedical applications\, mainly skin\, in our lab at the Faculty of Mathematics and Physics\, University of Ljubljana\, Ljubljana\, Slovenia. The talk will introduce the basics of HSI and various implementations\, followed by presenting tissue models and algorithms needed to extract tissue properties from hyperspectral images\, focusing on the inverse adding-doubling (IAD) algorithm and advanced machine learning (ML) techniques. Moreover\, the application of HSI to monitor the growth of different murine tumor models in the preclinical setting will be presented\, and the possibility of combining HSI with other optical techniques\, such as laser speckle contrast imaging\, will be demonstrated. Ultimately\, the capabilities of HSI for early detection of murine tumors will be exhibited. \n. \nOne significant finding is that lipid turnover decreases faster in aged female Drosophila compared to males. Additionally\, dietary restrictions\, downregulation of the insulin/IGF-1 signaling (IIS) pathway\, and AMPK activation significantly alter lipid metabolism in aged or Alzheimer’s-affected brains. The introduction of APoD and PRM algorithms has enhanced our current multimodal metabolic nanoscopy to deliver superresolution with hyperspectral volumetric imaging capabilities. By using deuterated molecules—including glucose\, amino acids\, fatty acids\, and water molecules—as bioorthogonal probes\, this technology provides insights into the metabolic heterogeneity of organs such as the brain\, adipose tissue\, liver\, muscle\, retina\, and kidneys.  \nBiography \nTadej Tomanic\, MSc\, is a young researcher and teaching assistant at the Faculty of Mathematics and Physics\, University of Ljubljana\, Ljubljana\, Slovenia. He received his BSc and MSc degrees in Physics and Medical Physics from the University of Ljubljana in 2017 and 2020\, respectively. As part of his Master’s research\, he collaborated with the Department of Neurology\, University Medical Centre Ljubljana\, to analyze brain FDG PET images of patients with Alzheimer’s disease. He also interned at Cosylab as a software engineer to work on developing a treatment planning system for patients with cancer treated with radiotherapy. He is currently pursuing his PhD in Physics at the University of Ljubljana under the supervision of Assoc. Prof. Matija Milanic\, PhD. His research interests include early tumor detection\, monitoring\, treatment\, and tumor vasculature development in vivo. He develops and applies various optical imaging methods in preclinical and clinical environments\, focusing on hyperspectral imaging\, laser speckle contrast imaging\, optical coherence tomography\, and optical profilometry. He is expected to graduate by January 2025. \n \n  \nREGISTER HERE FOR ZOOM \n  \nClick here to register for in-person attendance (lunch will be served) \n 
URL:https://bli.uci.edu/event/tadej_tomanic_msc/
LOCATION:BLI Library
CATEGORIES:2024 Hybrid Seminar Series,LAMP Seminar
ATTACH;FMTTYPE=image/jpeg:https://bli.uci.edu/wp-content/uploads/2025/03/Tadej.jpg
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DTSTART;TZID=America/Los_Angeles:20240614T120000
DTEND;TZID=America/Los_Angeles:20240614T130000
DTSTAMP:20260527T151532
CREATED:20250325T213245Z
LAST-MODIFIED:20250325T213245Z
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SUMMARY:Kamran Avanaki\, Ph.D.
DESCRIPTION:Biomedical hyperspectral imaging of murine tumors in the preclinical environment\nAbstract \nIn this talk\, we explore the application of optical coherence tomography (OCT) in skin imaging and various applications of photoacoustic imaging in brain imaging. For skin imaging\, we introduce a novel image analysis method to assess tissue health. This algorithm extracts optical radiomic signatures from OCT images\, providing detailed insights into tissue characteristics. In the realm of brain imaging\, we discuss the use of photoacoustic microscopy for vascular and functional imaging in small animals\, addressing significant neuroscientific questions. Additionally\, we highlight the application of photoacoustic tomography in large animal brain imaging\, emphasizing its potential translation to clinical settings. \nOne significant finding is that lipid turnover decreases faster in aged female Drosophila compared to males. Additionally\, dietary restrictions\, downregulation of the insulin/IGF-1 signaling (IIS) pathway\, and AMPK activation significantly alter lipid metabolism in aged or Alzheimer’s-affected brains. The introduction of APoD and PRM algorithms has enhanced our current multimodal metabolic nanoscopy to deliver superresolution with hyperspectral volumetric imaging capabilities. By using deuterated molecules—including glucose\, amino acids\, fatty acids\, and water molecules—as bioorthogonal probes\, this technology provides insights into the metabolic heterogeneity of organs such as the brain\, adipose tissue\, liver\, muscle\, retina\, and kidneys.  \nBiography \nTadej Dr. Kamran Avanaki is an Associate Professor of Biomedical Engineering Department at the University of Illinois in Chicago. Prior to this position he was an Associate Professor of Biomedical Engineering Department at Wayne State University. His areas of expertise include\, design and development of photoacoustic imaging technology and optical coherence tomography for biomedical applications to solve critical problems in brain and skin imaging. He completed his postdoctoral-fellowship at Washington University in St. Louis in 2012 under Professor Lihong Wang\, a pioneer in photoacoustic technology. He has a Ph.D. from the University of Kent with outstanding postgraduate student honors where he was mentored by Professor Adrian Podoleanu\, the world’s leader in OCT instrumentation. As principal investigator\, he has received multiple research grants/ fellowships. He is credited with more than 120 published first-authored/senior-authored peer-reviewed articles in high-impact journals such as\, PNAS\, Cancer Research\, IEEE Transaction of Medical Imaging\, Photoacoustics\, and Theragnostic. He currently serves as an associate editor of Biomedical Optics Express and Scientific Report. He has received the Outstanding Faculty Award from the College of Engineering at Wayne State University\, in 2016\, 2017\, and 2019\, also the Research Excellence Award in 2019 as well as the Excellence in Teaching Award in 2019. He has also received the prestigious 2020 Wayne State University Academy of Scholar Award\, and most recently 2023 Rising Star Award and Excellence in Teaching Award from the University of Illinois at Chicago. \n  \nREGISTER HERE FOR ZOOM \n  \nClick here to register for in-person attendance (lunch will be served) \n 
URL:https://bli.uci.edu/event/kamran_avanaki_phd/
LOCATION:BLI Library
CATEGORIES:2024 Hybrid Seminar Series,LAMP Seminar
ATTACH;FMTTYPE=image/jpeg:https://bli.uci.edu/wp-content/uploads/2025/03/kamran-Avanaki.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240627T120000
DTEND;TZID=America/Los_Angeles:20240627T130000
DTSTAMP:20260527T151532
CREATED:20250325T213637Z
LAST-MODIFIED:20250325T213637Z
UID:32979-1719489600-1719493200@bli.uci.edu
SUMMARY:Alberto Martín-Pérez
DESCRIPTION:Advancing In-Vivo Human Brain Tissue Classification: A Multimodal Approach Integrating Machine Learning\, Hyperspectral Imaging and Depth Information\nAbstract  \nThis talk will present a novel approach to classify in vivo human brain tissue in real time using a multimodal imaging technique that integrates hyperspectral imaging and depth information in a recently developed system called Slim Brain. This system has been used during surgical procedures to collect a database of over 193 patients that is growing weekly. By applying sophisticated machine learning algorithms to the acquired information\, Slim Brain demonstrates the potential of combining advanced imaging modalities with computational techniques for precise and non-invasive assessment of brain tissue\, with implications for neurology and medical imaging. In addition\, a new acquisition system under development that combines hyperspectral imaging with spatial frequency domain imaging modulation will be presented as a new tool to improve brain tissue classification. \nBiography \nAlberto Martín-Pérez is a Teaching Assistant at the Department of Audivisual Engineering and Communication in the School of Telecommunications Systems and Engineering of the Technical University of Madrid (UPM). Presently\, he is pursuing a PhD at UPM with the Electronic and Microelectronic Design Group (GDEM) in the Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM). His research pursuits center around the utilization of Machine Learning algorithms for the classification of in-vivo human brain tumors through hyperspectral imaging. Furthermore\, he aims to enhance classification methodologies through the application of spatial frequency domain imaging for his doctoral studies. \n  \nREGISTER HERE FOR ZOOM \n  \nClick here to register for in-person attendance (lunch will be served) \n 
URL:https://bli.uci.edu/event/alberto-martin-perez/
LOCATION:BLI Library
CATEGORIES:2024 Hybrid Seminar Series,LAMP Seminar
ATTACH;FMTTYPE=image/png:https://bli.uci.edu/wp-content/uploads/2025/03/Screenshot-2025-03-25-143611.png
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