sparse modeling

Detecting cell assemblies by NMF-based clustering from calcium imaging data
A large number of neurons form cell assemblies that process information in the brain. Recent developments in measurement technology, …
Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
5月 1, 2022
DOI
Detecting cell assemblies by NMF-based clustering from calcium imaging data
A large number of neurons form cell assemblies that process information in the brain. Recent developments in measurement technology, …
Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
DOI
Fast and robust multiplane single-molecule localization microscopy using a deep neural network
Single-molecule localization microscopy is a widely used technique in biological research for measuring the nanostructures of samples …
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
9月 3, 2021
Preprint PDF 引用 DOI
Fast and robust multiplane single-molecule localization microscopy using a deep neural network
Single-molecule localization microscopy is a widely used technique in biological research for measuring the nanostructures of samples …
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
Preprint PDF 引用 DOI
Single-molecule localization by voxel-wise regression using convolutional neural network
Single-molecule localization microscopy is widely used in biological research for measuring the nanostructures of samples smaller than …
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
11月 1, 2020
PDF 引用 DOI
Single-molecule localization by voxel-wise regression using convolutional neural network
Single-molecule localization by voxel-wise regression using convolutional neural network
Single-molecule localization microscopy is widely used in biological research for measuring the nanostructures of samples smaller than …
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
PDF 引用 DOI
Single-molecule localization by voxel-wise regression using convolutional neural network
深層ニューラルネットワークを用いた多焦点顕微鏡のリアルタイム3次元局在化
超解像蛍光顕微鏡は生物学研究において，試料の回折限界を超えるナノ構造を計測するために広く用いられている． 本稿で我々は4焦点面顕微鏡画像内の分子の水平および深さ位置局在化を行う3次元単一分子局在化問題を，深層ニューラルネットワーク（DNN）によって扱う． これまでに3次 …
有竹 俊光, 日野 英逸, 並木 繁行, 浅沼 大祐, 廣瀬 謙造, 村田 昇
1月 10, 2020
スライド ソース
深層ニューラルネットワークを用いた多焦点顕微鏡のリアルタイム3次元局在化
超解像蛍光顕微鏡は生物学研究において，試料の回折限界を超えるナノ構造を計測するために広く用いられている． 本稿で我々は4焦点面顕微鏡画像内の分子の水平および深さ位置局在化を行う3次元単一分子局在化問題を，深層ニューラルネットワーク（DNN）によって扱う． これまでに3次 …
有竹 俊光, 日野 英逸, 並木 繁行, 浅沼 大祐, 廣瀬 謙造, 村田 昇
スライド ソース
Learning Scale and Shift-Invariant Dictionary for Sparse Representation
Sparse representation is a signal model to represent signals with a linear combination of a small number of prototype signals called …
Toshimitsu Aritake, Noboru Murata
1月 3, 2020
引用 スライド DOI
Learning Scale and Shift-Invariant Dictionary for Sparse Representation
Sparse representation is a signal model to represent signals with a linear combination of a small number of prototype signals called …
Toshimitsu Aritake, Noboru Murata
引用 スライド DOI