BRAIN PRINT

 

SCROLL

RESEARCH

LPIXEL is advancing R&D in the life sciences, including the medical, pharmaceutical and agricultural sectors

Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms.
LPIXEL, collaborated with Dr. Ueda at Osaka City University, developed a deep learning algorithm for detecting cerebral aneurysms. The algorithm was constructed by deep learning with 1271 MRA images including 1477 cerebral aneurysms, and the sensitivity was 92%. The algorithm improved aneurysm detection rate by 5 - 10%, compared with the initial reports.
  • Research Publication
    Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms
  • Author
    Daiju Ueda, Akira Yamamoto, Masataka Nishimori, Taro Shimono, Satoshi Doishita, Akitoshi Shimazaki, Yutaka Katayama, Shinya Fukumoto, Antoine Choppin, Yuki Shimahara, Yukio Miki
  • Journal
    Radiology (DOI: 10.1148/radiol.2018180901)
  • Year
    2018
  • Research Publication
    Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms
  • Author
    Daiju Ueda, Akira Yamamoto, Masataka Nishimori, Taro Shimono, Satoshi Doishita, Akitoshi Shimazaki, Yutaka Katayama, Shinya Fukumoto, Antoine Choppin, Yuki Shimahara, Yukio Miki
  • Journal
    Radiology (DOI: 10.1148/radiol.2018180901)
  • Year
    2018

Active learning framework with iterative clustering for bioimage classification
LPIXEL, in partnership with Dr. Matsunaga at Tokyo University of Science and Dr. Fujii at National Cancer Center Hospital, developed CARTA, a novel software for automated bioimage classification, applicable to several acquisition equipments. CARTA comprises an active learning algorithm and provides an interactive annotation method. CARTA can support application of various classification schemes depending on the researcher's purpose and classify by some features which are not detected by expert anotaters.
  • Research Publication
    Active learning framework with iterative clustering for bioimage classification
  • Author
    Natsumaro Kutsuna, Takumi Higaki, Sachihiro Matsunaga, Tomoshi Otsuki, Masayuki Yamaguchi, Hirofumi Fujii, Seiichiro Hasezawa
  • Journal
    Nature Communications volume 3, Article number: 1032. DOI: 10.1038/ncomms2030
  • Year
    2012
  • Research Publication
    Active learning framework with iterative clustering for bioimage classification
  • Author
    Natsumaro Kutsuna, Takumi Higaki, Sachihiro Matsunaga, Tomoshi Otsuki, Masayuki Yamaguchi, Hirofumi Fujii, Seiichiro Hasezawa
  • Journal
    Nature Communications volume 3, Article number: 1032. DOI: 10.1038/ncomms2030
  • Year
    2012
The quantification of cells in electron micrographs using deep learning
LPIXEL, jointly with Dr. Sasaki and Dr. Ishiwata of Tokyo Metropolitan Geriatric Institute of Gerontology, conducted a classification analysis using machine learning in order to quantitatively evaluate in electron microscopy images that the ratio of microvilli-expressing cells increased in ABCG+ cell. IMACEL-Classifier was trained with manually collected Microvilli-cell-class and non-microvilli-cell-class cropped images and then applied to ABCG2+ cells and ABCG- cells to quantify the ratio of cell images categorized into each class.
  • Research Publication
    Stemness and anti-cancer drug resistance in ABCG2 highly expressed pancreatic cancer is induced on 3D-culture condition
  • Author
    Norihiko Sasaki, Toshiyuki Ishiwata, Fumio Hasegawa, Masaki Michishita, Hiroki Kawai, Yoko Matsuda, Tomio Arai, Naoshi Ishikawa, Junko Aida, Kaiyo Takubo, Masashi Toyoda
  • Journal
    Cancer Science (DOI: 10.1111/cas.13533)
  • Year
    2018
  • Research Publication
    Stemness and anti-cancer drug resistance in ABCG2 highly expressed pancreatic cancer is induced on 3D-culture condition
  • Author
    Norihiko Sasaki, Toshiyuki Ishiwata, Fumio Hasegawa, Masaki Michishita, Hiroki Kawai, Yoko Matsuda, Tomio Arai, Naoshi Ishikawa, Junko Aida, Kaiyo Takubo, Masashi Toyoda
  • Journal
    Cancer Science (DOI: 10.1111/cas.13533)
  • Year
    2018

Development and application of automatical image aquisition systems for wide-range images with transmitton electron microscopy
LPIXEL, in cooperation with Dr. Toyooka in RIKEN CSRS and Dr. Nagata in Japan Women's University, developed software packages for automated image aquisition and merging microscopic images for wide-range images, exploring methods of specific regions
  • Research Publication(Left)
    Wide‒Range High‒Resolution Transmission Electron Microscopy Reveals Morphological and
    Distributional Changes of Endomembrane Compartments during Log to Stationary Transition of
    Growth Phase in Tobacco BY‒2 Cells
  • Author
    Kiminori Toyooka, Mayuko Sato, Natsumaro Kutsuna, Takumi Higaki, Fumie Sawaki, Mayumi Wakazaki, Yumi Goto, Seiichiro Hasezawa, Noriko Nagata, Ken Matsuoka
  • Journal
    Plant and Cell Physiology 55: 1544-1555
  • Year
    2014
  • Research Publication(Right)
    高圧凍結技法を取り入れた広域透過電顕像自動取得システムの開発とその応用
  • Author
    豊岡 公徳, 佐藤 繭子, 朽名 夏麿, 永田 典子
  • Journal
    Plant Morphology 26: 3‒8
  • Year
    2014
  • Research Publication(Left)
    Wide‒Range High‒Resolution Transmission Electron Microscopy Reveals Morphological and
    Distributional Changes of Endomembrane Compartments during Log to Stationary Transition of
    Growth Phase in Tobacco BY‒2 Cells
  • Author
    Kiminori Toyooka, Mayuko Sato, Natsumaro Kutsuna, Takumi Higaki, Fumie Sawaki, Mayumi Wakazaki, Yumi Goto, Seiichiro Hasezawa, Noriko Nagata, Ken Matsuoka
  • Journal
    Plant and Cell Physiology 55: 1544-1555
  • Year
    2014
  • Research Publication(Right)
    高圧凍結技法を取り入れた広域透過電顕像自動取得システムの開発とその応用
  • Author
    豊岡 公徳, 佐藤 繭子, 朽名 夏麿, 永田 典子
  • Journal
    Plant Morphology 26: 3‒8
  • Year
    2014
Growth analysis and the form and traits quantification of rice plant
LPIXEL developed image processing techniques and image aquisition methods for quantitative analysis of development process in rice plant, together with Associate Dr. Sugita(Konishi) at Kagawa University.
  • Research Publication
    Growth analysis and the form and traits quantification of rice plant
  • Author
    朽名夏麿, 川田亮太, 杉田(小西)左江子, 馳澤盛一郎
  • Journal
    日本植物学会第78回大会
  • Year
    2014
  • Research Publication
    Growth analysis and the form and traits quantification of rice plant
  • Author
    朽名夏麿, 川田亮太, 杉田(小西)左江子, 馳澤盛一郎
  • Journal
    日本植物学会第78回大会
  • Year
    2014

PRODUCTS

EIRL
Cutting-Edge Technologies that Lead Future Medical Diagnosis
EIRL analyzes a wide range of medical data to provide an accurate and efficient diagnosis. EIRL aims to be the closest partner to all doctors, and serve as another powerful set of eyes to provide top quality medical care.
IMACEL
AI for accelerating
your research
IMACEL instantly processes and analyzes of a large volume of images, creating an environment that enables researchers to focus on their research. Extensive knowledge on image analysis technologies is not a requirement to get started with IMACEL.

JOINT RESEARCH

PARTNERS

Alphabetical listing

CAREERS

A Third Career Option for Researchers

LPIXEL Inc.