scholarly journals Reply to Pisupati et al.: Evaluating single subunit counting data to find the correct stoichiometry

2020 ◽  
Vol 117 (47) ◽  
pp. 29290-29291
Author(s):  
Lena Möller ◽  
Glenn Regnier ◽  
Alain J. Labro ◽  
Dirk J. Snyders ◽  
Rikard Blunck
Keyword(s):  
Counting Data ◽  
Single Subunit

scholarly journals Choosing the Correct Stoichiometry from Single Subunit Counting Data

2020 ◽  
Vol 118 (3) ◽  
pp. 262a
Author(s):  
Lena Moeller ◽  
Alain J. Labro ◽  
Dirk J. Snyders ◽  
Rikard Blunck
Keyword(s):  
Counting Data ◽  
Single Subunit

Single subunit structure of the human thyrotropin receptor

1992 ◽  
Vol 187 (2) ◽  
pp. 887-893 ◽  
Author(s):  
Toyoshi Endo ◽  
Masato Ikeda ◽  
Masayuki Ohmori ◽  
Emiko Anzai ◽  
Kazutaka Haraguchi ◽  
...  
Keyword(s):  
Subunit Structure ◽  
Thyrotropin Receptor ◽  
Single Subunit

Machine Learning-based Whitefly Feature Identification and Counting

2021 ◽  
Author(s):  
Kai-Chao Yao ◽  
Shih-Feng Fu ◽  
Wei-Tzer Huang ◽  
Cheng-Chun Wu
Keyword(s):  
Machine Learning ◽  
Data Storage ◽  
Ccd Camera ◽  
Machine Learning Algorithms ◽  
Feature Identification ◽  
Matching Algorithm ◽  
Vision Development ◽  
Counting Data ◽  
Image Conversion ◽  
Pyramid Matching

This article uses LabVIEW, a software program to develop a whitefly feature identification and counting technology, and machine learning algorithms for whitefly monitoring, identification, and counting applications. In addition, a high-magnification CCD camera is used for on-demand image photography, and then the functional programs of the VI library of LabVIEW NI-DAQ and LabVIEW NI Vision Development Module are used to develop image recognition functions. The grayscale-value pyramid-matching algorithm is used for image conversion and recognition in the machine learning mode. The built graphical user interface and device hardware provide convenient and effective whitefly feature identification and sample counting. This monitoring technology exhibits features such as remote monitoring, counting, data storage, and statistical analysis.

Nuclear translocation of the heterotrimeric CCAAT binding factor of Aspergillus oryzae is dependent on two redundant localising signals in a single subunit

2005 ◽  
Vol 184 (2) ◽  
pp. 93-100 ◽  
Author(s):  
Hideya Goda ◽  
Takashi Nagase ◽  
Shinjiro Tanoue ◽  
Junya Sugiyama ◽  
Stefan Steidl ◽  
...  
Keyword(s):  
Aspergillus Oryzae ◽  
Nuclear Translocation ◽  
Binding Factor ◽  
Single Subunit
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