The Moscone Center
San Francisco, California, United States
2 - 7 February 2019
Conference BO508
High-Speed Biomedical Imaging and Spectroscopy IV
Important
Dates
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Abstract Due:
25 July 2018

Author Notification:
1 October 2018

Manuscript Due Date:
11 January 2019

Conference
Cosponsors



Conference
Committee
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Conference Chairs
Program Committee
Program Committee continued...
Call for
Papers
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, 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 not limited to, the following topics:

Methods for high-speed optical spectroscopy and imaging
  • High-speed spectroscopy and fluorescence detection
  • High-throughput and high-content live cell imaging/microscopy
  • Ultrafast imaging techniques
  • High-throughput lensless microscopy
  • High-throughput light-sheet microscopy
  • High-speed photoacoustic imaging
  • High-speed super-resolution imaging
  • High-speed coherent Raman spectroscopy/imaging (e.g., SRS, CARS)
Biomedical applications of high-speed optical spectroscopy and imaging
  • Volumetric imaging
  • Neural imaging
  • Flow cytometry
  • Image cytometry
  • High-throughput and 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
  • Support vector machines
  • Deep learning
  • Artificial neural networks
  • Efficient classification algorithms
Best Paper Awards
We are pleased to announce that Hamamatsu, PiPhotonics, and Hitachi High-Tech will sponsor six Best Paper Awards for this Conference, with a total cash prize of $3000: two Hamamatsu Best Paper Awards ($500 each), two PiPhotonics Best Paper Awards ($500 each), and two Hitachi High-Tech Best Paper 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.

PRIZED DONATED BY: Hamamatsu, PiPhotonics, and Hitachi High-Tech
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