Zooplankton Particle Selection and Feeding Mechanisms

2020 ◽  
pp. 205-234
Author(s):  
Henry A. Vanderploeg
Keyword(s):  
Particle Selection

Microfluidic optical sorting: particle selection in an optical lattice

2004 ◽  
Author(s):  
Michael P. MacDonald ◽  
Steven Neale ◽  
Lynn Paterson ◽  
Andrew Riches ◽  
Gabriel C. Spalding ◽  
...  
Keyword(s):  
Optical Lattice ◽  
Particle Selection ◽  
Optical Sorting

scholarly journals Basket Classifier: Fast and Optimal Restructuring of the Classifier for Differing Train and Target Samples

2021 ◽  
Vol 251 ◽  
pp. 03069
Author(s):  
Anton Philippov ◽  
Fedor Ratnikov
Keyword(s):  
New Method ◽  
Energy Spectra ◽  
Optimal Prediction ◽  
Particle Selection ◽  
The Common ◽  
Combined Classifier ◽  
Target Data

The common approach for constructing a classifier for particle selection assumes reasonable consistency between train data samples and the target data sample used for the particular analysis. However, train and target data may have very different properties, like energy spectra for signal and background contributions. We propose a new method based on an ensemble of pre-trained classifiers, each trained of an exclusive subset, a data basket, of the total dataset. Appropriate separate adjustment of separation thresholds for every basket classifier allows to dynamically adjust the combined classifier and make optimal prediction for data with differing properties without re-training of the classifier. The approach is illustrated with a toy example. A quality dependency on the number of used data baskets is also presented.

SwarmPS: Rapid, semi-automated single particle selection software

2007 ◽  
Vol 157 (1) ◽  
pp. 174-188 ◽  
Author(s):  
David Woolford ◽  
Geoffery Ericksson ◽  
Rosalba Rothnagel ◽  
David Muller ◽  
Michael J. Landsberg ◽  
...  
Keyword(s):  
Single Particle ◽  
Particle Selection
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