High-speed videography system using a pair of imagers for biological applications

R. Kajiwara, I. Takashima, K. Murano, Y. Mimura, T. Iijima

    Research output: Contribution to journalConference article

    2 Citations (Scopus)

    Abstract

    This paper describes a high-speed imaging system using dual MOS-based solid-state cameras and its biological application. Our dual camera system can capture images synchronously and produce sets of 64 × 64-pixel images at a rate of 0.6 ms/frame. The system is composed of three blocks: the "camera-drive", "memory", and "processor" blocks. We developed these block hardware circuits using an FPGA device in the following manner. (1) Camera-drive block: two cameras were synchronized with the Hd (horizontal drive) and Vd (vertical drive) signals using a 16 MHz clock. (2) Memory block: 12-bit track-and-hold A/D converters were used to digitize the output from both cameras in parallel and store it in frame memory. Each camera had a 16-MB memory capacity. (3) Processor block: image data from both cameras was stored in two separate frame memories. This block simultaneously accessed the same memory address for each frame and calculated the difference in the observed values, which was then transferred to a personal computer. This system enabled us to observe pure neural activity from images contaminated with heartbeat noise.

    Original languageEnglish
    Pages (from-to)969-977
    Number of pages9
    JournalProceedings of SPIE - The International Society for Optical Engineering
    Volume4183
    DOIs
    Publication statusPublished - 2001 Jan 1
    Event24th International Congress on High-Speed Photography and Photonics - Sendai, Japan
    Duration: 2000 Sep 242000 Sep 29

    Keywords

    • Fluorescence
    • MOS-bused solid state camera
    • Neural activity
    • Optical recording
    • Pulsation noise
    • Voltage-sensitive dye

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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