Enhancing SFDI’s functionality and performance with state-of-the-art CMOS image sensors Abstract Recently, new CMOS image sensors with high performance and functionalities such as near-infrared-enhanced global shutter, multi-tap pixels for time-division-multiplexing (TDM) or time-resolved (TR) imaging, and multi-aperture (MA) are emerging. At Shizuoka University, TDM, TR, and MA CMOS image sensors are being developed for LiDAR […]
Smartphone-based total body photography of patients with mpox in remote areas of the Democratic Republic of the Congo Abstract Mpox (associated with clade I monkeypox virus infection) is endemic in the Democratic Republic of the Congo (DRC) and manifests with hundreds to thousands of total body lesions and an estimated case fatality ratio of 11% […]
Advancing Photoacoustic Tomography: From benchtop wholebody imagers to wearable devices Abstract This talk will cover the recent development of photoacoustic imaging technology, including a benchtop imager, termed single-impulse panoramic photoacoustic computed tomography (SIP-PACT), and its preclinical applications. SIP-PACT has also been scaled up for breast cancer diagnosis with improved sensitivity and specificity. In addition, to […]
Biomedical hyperspectral imaging of murine tumors in the preclinical environment Abstract Biomedical 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. […]
Biomedical hyperspectral imaging of murine tumors in the preclinical environment Abstract In 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 […]
Advancing In-Vivo Human Brain Tissue Classification: A Multimodal Approach Integrating Machine Learning, Hyperspectral Imaging and Depth Information Abstract This 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. […]
Hyperspectral Image and Video Processing in Neurosurgery: the HELICoiD, NEMESIS-3D-CM, and STRATUM Research Projects Abstract Brain tumor surgery is one of the most complex procedures that benefits from integrated digital diagnostics. Differentiating pathological tissue margins and interpreting multimodal data from a variety of independent devices are among the main challenges neurosurgeons face during brain tumor […]
Development of wearable laser speckle imaging devices for use at the point-of-care Abstract While laser speckle contrast imaging (LSCI) was historically confined to bulky benchtop systems, research teams have recently developed hand-held and wearable laser speckle systems. For these systems to be useful in a clinical setting, hand-held devices must be lightweight and compact enough […]
Toward High-Speed Light-Field Biophotonics Abstract Visualizing the diverse anatomical and functional traits within the densely packed cellular space and over large heterogeneous populations unfolds critical details of the fundamentals of living organisms. In this talk, I will present my laboratory’s recently developed advanced microscopy techniques for high-throughput extraction of molecular information in cells and tissues […]
Multimodal Metabolic Nanoscopy for Studying Aging and Related Diseases Abstract Understanding how metabolism functions in multicellular organisms is essential for revealing the fundamental mechanisms of numerous biological processes. Metabolism involves the creation, transformation, and breakdown of biomolecules, acting according to genetic instructions. Traditional imaging techniques like MRI, PET, fluorescence, and mass spectrometry come with limitations. […]
