High-Speed Biomedical Imaging and Spectroscopy VIII

Real-time capture and analysis of fast, non-repetitive, dynamical events has long been a challenging problem in the field of instrumentation for biomedical research. Notable examples include momentous efforts on establishing high-speed optical spectroscopy with high spectral resolution and wide spectral range (e.g., Raman spectroscopy, Fourier-transform infrared spectroscopy, THz spectroscopy, and fluorescence detection) and high-speed optical microscopy with high spatial resolution and wide field of view (e.g., light-sheet microscopy, ultrafast imaging, 4D imaging, photoacoustic microscopy, super-resolution fluorescence microscopy, and image cytometry). The development of such high-speed optical instruments is driven by the need for better understanding dynamical processes in biological systems such as neural activity and calcium transport as well as for high-throughput quantitative analysis of heterogeneous cell populations such as blood cells and stem cells. The big data produced by the high-speed optical instruments is well aligned with the pressing need for progressively larger biomedical datasets for efficient and accurate data analysis with the help of machine learning (e.g., deep learning) to make better decisions in biomedical research and clinical diagnosis.

The aim of this Conference is to bring researchers specialized in high-speed optical bioinstrumentation, data management, and high-speed signal/image processing together in a single multidisciplinary forum. With the presentations of the latest developments, this Conference is intended to serve as an arena to promote idea exchanges, interdisciplinary collaborations, and technological advancements in this new and exciting field of high-speed optical bioinstrumentation with focuses on its future trend and development.

This conference intends to cover, but is not limited to, the following topics:

Methods for high-speed optical imaging and spectroscopy

• high-speed spectroscopy and fluorescence detection
• high-throughput imaging
• ultrafast imaging techniques
• 4D imaging (high-speed volumetric imaging)
• high-throughput lensless microscopy
• high-throughput light-sheet microscopy
• high-speed photoacoustic imaging
• high-speed super-resolution imaging
• high-speed multiphoton fluorescence imaging
• high-speed coherent Raman spectroscopy/imaging (e.g., SRS, CARS)
• biomedical applications of high-speed optical spectroscopy and imaging
• neural imaging
• flow cytometry
• imaging flow cytometry
• high-throughput screening
• high-content screening
• high-throughput histopathology
• real-time functional in vivo imaging.

Computational methods for signal/image processing and big data management

• instrumentation for real-time computational imaging/spectroscopy (e.g., FPGA, GPU)
• computationally efficient algorithms
• data compression and compressive sensing
• high-speed digital signal/image processing
• high-dimensional image analysis
• data mining.

Machine learning for high-speed optical spectroscopy and imaging

• deep learning
• artificial neural networks
• efficient classification and inference algorithms.

Best Presentation Awards
We are pleased to announce that PiPhotonics, Hitachi High-Tech, nac Image Technology, and Teledyne SP Devices will sponsor seven Best Presentation Awards for this Conference, with a total cash prize of $3500: one PiPhotonics Best Presentation Award ($500), two Hitachi High-Tech Best Presentation Awards ($500 each), two nac Image Technology Best Presentation Awards ($500 each), and two Teledyne SP Devices Best Presentation Awards ($500 each). Participants must be both the primary author and presenter of an accepted abstract to be eligible. Qualifying presentations will be evaluated by the awards committee. The winners will be notified at the end of, or after, the meeting.

PRIZES DONATED BY: PiPhotonics, Hitachi High-Tech, nac Image Technology, Teledyne SP Devices