• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Development of high-speed general-purpose cell sorting method by sparse modeling and image processing

Research Project

Project/Area Number 19K12104
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 61030:Intelligent informatics-related
Research InstitutionKogakuin University

Principal Investigator

Takekawa Takashi  工学院大学, 情報学部(情報工学部), 准教授 (50415220)

Project Period (FY) 2019-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2021: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2020: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2019: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywords蛍光イメージング / 信号検出 / 細胞検出 / スパース最適化 / 非負行列因子分解
Outline of Research at the Start

近年,脳を直接撮影することで多数の神経細胞の活動を観測することのできる蛍光イメージング技術が大き向上し,脳がどのように機能しているかの理解が大きく向上することが期待されている.蛍光イメージング記録を有効に活用するためには,記録データから自動的に細胞の位置と活動状態を求めるセルソーティングと呼ばれる技術が重要となるが,現状のソーティングシステムは精度・速度・安定性などさまざまな観点から十分とは言えない.本研究では,画像処理と確率モデル,最適化アルゴリズムと並列計算技術を駆使して既存のシステムに対して精度と速度が大幅に上回るシステムを開発する.

Outline of Final Research Achievements

In recent years, fluorescence imaging technology that can observe the activity of a large number of neurons has been greatly improved, and it is expected to greatly enhance our understanding of the brain. In order to utilize the data, it is important to have a technology to automatically determine the position and activity state of cells from the recorded data, but existing systems have not been sufficient in terms of accuracy, speed, and stability. In this study, we developed a system that significantly outperforms existing systems in terms of accuracy and speed by making full use of image processing, stochastic models, optimization algorithms, and parallel computing technology, and released the software. The developed system, HOTARU, is capable of detecting spikes with high accuracy, even for cells that are difficult to detect using existing methods.

Academic Significance and Societal Importance of the Research Achievements

本研究で開発したシステム HOTARU は,恣意的なパラメータを持たずデータの性質に依存せず安定して動作し,発火率が低い,あるいは SN が小さい細胞についても検出することが可能である.この手法により,従来法では細胞強度のみで細胞の妥当性を判断していたのに対して,細胞の形状が安定していること,検出されるスパイクの数が妥当であることを元に改善が可能となった.また,システムの動作に必要なパラメータは必要最小限で恣意的な要素を排除している。そのため,神経回路の動作を実験データから検証する際に誤った結論を導く可能性を大幅に低減することができた。

Report

(4 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Research-status Report
  • 2019 Research-status Report
  • Research Products

    (7 results)

All 2022 2020 2019 Other

All Journal Article (5 results) (of which Int'l Joint Research: 2 results,  Peer Reviewed: 4 results,  Open Access: 4 results) Remarks (1 results) Patent(Industrial Property Rights) (1 results)

  • [Journal Article] Fast parallel calculation of modified Bessel function of the second kind and its derivatives2022

    • Author(s)
      Takashi Takekawa
    • Journal Title

      SoftwareX

      Volume: 17 Pages: 100923-100923

    • DOI

      10.1016/j.softx.2021.100923

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Discriminant laplacian eigenmaps by the approximation of discriminant analysis using similarity2022

    • Author(s)
      Kazuki Takahashi, Takashi Takekawa
    • Journal Title

      Nonlinear Theory and Its Applications, IEICE

      Volume: 13 Issue: 2 Pages: 300-305

    • DOI

      10.1587/nolta.13.300

    • ISSN
      2185-4106
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Guide for Ca<sup>2+</sup> Imaging from Deep Brain Regions2020

    • Author(s)
      大川宣昭,竹川高志,野本真順,井ノ口馨
    • Journal Title

      The Brain & Neural Networks

      Volume: 27 Issue: 2 Pages: 74-86

    • DOI

      10.3902/jnns.27.74

    • NAID

      130007882378

    • ISSN
      1340-766X, 1883-0455
    • Year and Date
      2020-06-05
    • Related Report
      2020 Research-status Report
    • Open Access
  • [Journal Article] Distinct Mechanisms of Over-Representation of Landmarks and Rewards in the Hippocampus2020

    • Author(s)
      Masaaki Sato, Kotaro Mizuta, Tanvir Islam, Masako Kawano, Yukiko Sekine, Takashi Takekawa, Daniel Gomez-Dominguez, Alexander Schmidt, Fred Wolf, Karam Kim, Hiroshi Yamakawa, Masamichi Ohkura, Min Goo Lee, Tomoki Fukai, Junichi Nakai, Yasunori Hayashi
    • Journal Title

      Cell Reports

      Volume: 32 Issue: 1 Pages: 107864-107864

    • DOI

      10.1016/j.celrep.2020.107864

    • NAID

      120006867158

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Orchestrated ensemble activities constitute a hippocampal memory engram2019

    • Author(s)
      Khaled Ghandour, Noriaki Ohkawa, Chi Chung Alan Fung, Hirotaka Asai, Yoshito Saitoh, Takashi Takekawa, Reiko Okubo-Suzuki, Shingo Soya, Hirofumi Nishizono, Mina Matsuo, Makoto Osanai, Masaaki Sato, Masamichi Ohkura, Junichi Nakai, Yasunori Hayashi, Takeshi Sakurai, Takashi Kitamura, Tomoki Fukai & Kaoru Inokuchi
    • Journal Title

      Nature Communications

      Volume: 10 Issue: 1 Pages: 2637-2637

    • DOI

      10.1038/s41467-019-10683-2

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Remarks] HOTARU: Open Source Cell Sorting Sysmtem

    • URL

      https://github.com/tk2lab/HOTARU

    • Related Report
      2021 Annual Research Report
  • [Patent(Industrial Property Rights)] 最適化装置、最適化方法、及び最適化プログラム2020

    • Inventor(s)
      竹川高志, 高橋春輝, 酒井裕, 深井朋樹
    • Industrial Property Rights Holder
      工学院大学・沖縄科学技術大学院大学
    • Industrial Property Rights Type
      特許
    • Industrial Property Number
      2021-021962
    • Filing Date
      2020
    • Related Report
      2020 Research-status Report

URL: 

Published: 2019-04-18   Modified: 2023-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi