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Modeling of spatio-temporal dynamics of neuropil signals and its application to automatic cell detectors

Research Project

Project/Area Number 19H04203
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 62010:Life, health and medical informatics-related
Research InstitutionThe University of Tokyo (2023)
Tokyo Institute of Technology

Principal Investigator

Aonishi Toru  東京大学, 大学院新領域創成科学研究科, 教授 (00333352)

Project Period (FY) 2019-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥17,030,000 (Direct Cost: ¥13,100,000、Indirect Cost: ¥3,930,000)
Fiscal Year 2023: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2022: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2021: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2020: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2019: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Keywordsカルシウムイメージング / 自動細胞検出 / 非負値行列因子分解 / ニューロピル信号 / 動的モード分解
Outline of Research at the Start

本研究で実施する課題は、以下の通りである。課題1:ニューロピル時空間動態のモデリング。課題2:ニューロピル時空間動態と細胞動態の関係性の解析。課題3:ニューロピル動態モデルを組み込んだ自動細胞検出器の構成。
課題1より、 大域的かつ複雑なニューロピル時空間動態を低自由度縮約し、その動的特性を明らかにする。課題2より、 ニューロピル動態を低自由度縮約して、細胞活動との関係性を明確にする。課題3:ニューロピル動態モデルを自動細胞検出器に組み込み、その性能を向上させる。

Outline of Final Research Achievements

We developed the world's widest-field and fastest two-photon microscope (FASHIO-2PM) (Ota et al. Neuron 2021). In this research project, Aonishi was contributing in developing a low-computational-cost cell detection algorithm, LCCD, which automatically detects cells at high speed from the large-scale imaging data acquired by FASHIO-2PM. We succeeded in automatically detecting the activity of 16,000 cells from 15 brain regions (3mm x 3mm) including sensory, motor, and higher-level areas with high accuracy and high speed (Ito et al. Neurosci. Res. 2022). To improve cell detection performance, the fluorescent signal corresponding to the neuropil signal was detected and deleted from the original signal.

Academic Significance and Societal Importance of the Research Achievements

我々が開発した広視野2光子顕微鏡FASHIO-2PMにより、複数の脳領域をまたぐ数万の神経活動を観測することが可能となった。また、この顕微鏡と同時に開発した高速自動細胞検出アルゴリズムLCCDにより、膨大な細胞の正確な活動系列の自動抽出を実現し、これら活動系列の統計的解析が可能となった。本研究で開発したこれら計測技術により、これまでにない脳領域をまたぐ広域の数万規模の神経活動の解析が可能となった。これにより、これまで観察されてこなかった脳領域をまたぐハブ細胞ネットワークという新しい生命現象を可視化することに成功している。したがって、我々が開発した技術は神経科学分野を大きく進展させるものである。

Report

(5 results)
  • 2023 Final Research Report ( PDF )
  • 2022 Annual Research Report
  • 2021 Annual Research Report
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • Research Products

    (13 results)

All 2022 2021 2020 2019 Other

All Journal Article (6 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 5 results,  Open Access: 4 results) Presentation (4 results) (of which Invited: 4 results) Remarks (3 results)

  • [Journal Article] Dopamine negatively regulates insulin secretion through D1-D2 receptor heteromer.2022

    • Author(s)
      Uefune F, Aonishi T, Kitaguchi T, Takahashi H, Seino S, Sakano D, Kume S
    • Journal Title

      Diabetes

      Volume: 71 Issue: 9 Pages: 1946-1961

    • DOI

      10.2337/db21-0644

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Computational model predicts the neural mechanisms of prepulse inhibition in Drosophila larvae2022

    • Author(s)
      Furuya Kotaro、Katsumata Yuki、Ishibashi Masayuki、Matsumoto Yutaro、Morimoto Takako、Aonishi Toru
    • Journal Title

      Scientific Reports

      Volume: 12 Issue: 1 Pages: 15211-15211

    • DOI

      10.1038/s41598-022-19210-8

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Low computational-cost cell detection method for calcium imaging data2022

    • Author(s)
      Ito Tsubasa、Ota Keisuke、Ueno Kanako、Oisi Yasuhiro、Matsubara Chie、Kobayashi Kenta、Ohkura Masamichi、Nakai Junichi、Murayama Masanori、Aonishi Toru
    • Journal Title

      Neuroscience Research

      Volume: 179 Pages: 39-50

    • DOI

      10.1016/j.neures.2022.02.008

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Imaging data analysis using non-negative matrix factorization2021

    • Author(s)
      Aonishi Toru、Maruyama Ryoichi、Ito Tsubasa、Miyakawa Hiroyoshi、Murayama Masanori、Ota Keisuke
    • Journal Title

      Neuroscience Research

      Volume: - Pages: 51-56

    • DOI

      10.1016/j.neures.2021.12.001

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Fast, cell-resolution, contiguous-wide two-photon imaging to reveal functional network architectures across multi-modal cortical areas2021

    • Author(s)
      K. Ota, Y. Oisi, T. Suzuki, M. Ikeda, Y. Ito, T. Ito, H. Uwamori, K. Kobayashi, M. Kobayashi, M. Odagawa, C. Matsubara, Y. Kuroiwa, M. Horikoshi, J. Matsushita, H. Hioki, M. Ohkura, J. Nakai, M. Oizumi, A. Miyawaki, T. Aonishi, T. Ode and M. Murayama
    • Journal Title

      Neuron

      Volume: - Issue: 11 Pages: 1-15

    • DOI

      10.1016/j.neuron.2021.03.032

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Low Computational-cost Cell Detection Method for Calcium Imaging Data2019

    • Author(s)
      Ito Tsubasa、Ota Keisuke、Ueno Kanako、Oisi Yasuhiro、Matsubara Chie、Kobayashi Kenta、Ohkura Masamichi、Nakai Junichi、Murayama Masanori、Aonishi Toru
    • Journal Title

      bioRxiv

      Volume: 502153 Pages: 1-21

    • DOI

      10.1101/502153

    • Related Report
      2019 Annual Research Report
  • [Presentation] Low-computational cost cell detection algorithm (LCCD)2022

    • Author(s)
      青西亨
    • Organizer
      学術変革領域B ハブ決定剛軟因子 非公開シンポジウム
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] Imaging data analysis using non-negative matrix factorization2021

    • Author(s)
      青西亨
    • Organizer
      文部科学省新学術領域研究「人工知能と脳科学の対照と融合」カルシウムイメージング ワークショップ
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] 情報科学を活用したXAFSイメージング解析2020

    • Author(s)
      青西亨
    • Organizer
      第33回日本放射光学会年会・放射光科学合同シンポジウム
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Presentation] 非負値行列因子分解によるイメージングデータ解析-システムの同型性にもとづく異分野データへの適用-2019

    • Author(s)
      青西亨
    • Organizer
      人工知能学会第3回計測インフォマティクス研究会
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Remarks] 青西亨 研究業績一覧

    • URL

      https://t2r2.star.titech.ac.jp/cgi-bin/researcherpublicationlist.cgi?alldisp=1&q_researcher_content_number=CTT100381316

    • Related Report
      2022 Annual Research Report
  • [Remarks] 青西亨 研究業績一覧

    • URL

      http://t2r2.star.titech.ac.jp/cgi-bin/researcherpublicationlist.cgi?q_researcher_content_number=CTT100381316&alldisp=1&tab_yf=2021

    • Related Report
      2021 Annual Research Report
  • [Remarks] Research map

    • URL

      https://researchmap.jp/read0205366

    • Related Report
      2019 Annual Research Report

URL: 

Published: 2019-04-18   Modified: 2025-01-30  

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