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RESEARCH

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INTERROGATING NEURAL INTERFACES USING LIGHT AND SOUND

Brain and neural interfaces enable our data processing, decision making, task planning, and interaction to the external world. However, observing and manipulating its action are challenging due to the difficult access and needs for tight spatiotemporal resolution.

    Harnessing light and sound, we tackle this important barrier to quantify neurovascular physiology and electrophysiology in a less or totally non-invasive way. The potential impact has been validated in neurocritical care, surgical, or scientific settings. Also, we investigate a way to stimulate the interfaces for novel clinical solutions.

Selected publications:

  • Journal of Neural Engineering 18, 065001, 2022 (Link) 

  • Experimental Neurology 347, 113898, 2022 (Link)

  • Journal of Neural Engineering 17(2), 025001, 2020 (Link)

  • Scientific Reports 10, 6618, 20 Apr. 2020 (Link)

  • Frontiers in Neuroscience 13(579), 1-14, 2019 (Link)

  • Journal of Applied Physiology 125(4), 983-989, 2018 (Link)

FROM HOSPITAL-CENTRIC TO
HUMAN-CENTRIC HEALTHCARE

Healthcare has been evolved in a 'hospital-centric' paradigm to maximize the accessibility to essential equipment and facilities designed for expert use. However, rapid evolution of electronic and computer engineering technologies alleviates the restrictions and suggest the paradigm shift into a 'human-centric' healthcare. 

    We here stand on the forefront of the transition by scrutinizing, disassembling/reconfiguring, designing, and validating novel medical device form factor to be used in patient's daily life to prognose/prevent abrupt danger or within a reach for field clinicians to effectuate their performance in resource/time-limited settings (e.g., battlefield, ambulance, emergency department, rural area, etc.). 

Selected publications:

  • Ultrasonics 129, 106908, 2023 (Link) 

  • IEEE Access 8, 80490, 2020 (Link)

  • Scientific Reports 7, 45008, 2017 (Link)

  • IEEE Trans Biomed Circ Systems 10(2), 412, 2016 (Link)

  • IEEE Trans UFFC 59(7), 1386, 2012 (Link)

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CLUE TO IDENTIFY EARLY/AGGRESSIVE PATIENT CONDITIONS & DISEASES

Light and sound are competitive modalities for tissue characterization of endogenous/exogenous contrast. 

    We develop a novel imaging biomarkers to indicate early or aggressive diseases at high spatial-contrast resolution. Target organs span brain, breast, and prostate to see functional and molecular clues of early/aggressive patient conditions & diseases. Our lab also collaborate with chemical engineers to develop exogenous contrast augmenting optical and acoustic sensing for better clinical outcomes. 

Selected publications:​

  • Nanoscale 13(20), 9217-9228, 2021 (Link)

  • Frontiers in Neuroscience 13(579), 1-14, 2019 (Link)

  • ACS Photonics 6(9), 2268-2276, 2019 (Link)

  • Korean Journal of Radiology 18(5), 821-827, 2017 (Link)

  • Journal of Biomedical Optics 22(4), 045006, 2017 (Link)

  • Nanoscale 8, 14448, 2016 (Link)

  • Journal of Controlled Release 218, 63-71, 9 Oct. 2015 (Link)

  • Rev Sci Instrum 86(3), 034901, 2015 (Link)

  • Journal of Biophotonics 8(1-2), 71-80, 2015 (Link)

DECIPHERING AND PROCESSING SIGNALS FOR FINEST, FASTEST, STARKEST IMAGES

In biomedical sensing, signal is a language to understand what's going on in our body. Light and sound can create rich tone and pitch of the language in spatial-temporal-spectral dimensions. By doing so, better comprehension of the diseases can lead to a better interventions and treatments.

    We translate a sensing configuration into an analytical understanding on theoretical imaging performance, and further validate through a comparative evaluation with real-world experiments and system implementations for clinical translation.

Selected publications:​

  • Ultrasonography 42, 249-258, 2022 (Link)

  • Photoacoustics 27, 100378, 2022 (Link)

  • Journal of Computational Design and Engineering 9, 1774-1787, 2022 (Link)

  • IEEE Transactions on Biomedical Engineering 69(9), 2817-2825, 28 Feb. 2022 (Link)

  • Frontiers in Neuroscience 13(579), 1-14, 2019 (Link)

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