FIELD: computing.
SUBSTANCE: method for collective training of a group of operated scanning laboratory-cloud microscopy combine analysers (LCMCAs) comprising an adaptable multifunctional scanning microscope (AMSM) for producing digital images of preparations (DIPs), with an automatic executive analyser (AIA) for analysing DIPs and forming automatic results of the analysis of DIPs (DIP-AA-2) used in the responsibility mode "2nd opinion", constituting the preliminary mode, with interactive means of visual analysis of DIPs and DIP-AA-2, possible correction of DIP-AA-2 forming own analysis results of the user DIP-AA-2-1, corresponding to the responsibility mode "1st opinion", constituting the final mode. The collective quality monitor (CQM) collects the data on the quality control of the operation of the LCMCAs combines. The results of the conducted DIP – DIP-AA-2 – DIP-AA-2-1 analyses are stored in the integrated database of the CQM (CQM DB), training sessions of the automatic stock analysers (ASA) included therein are conducted in the CQM using the data from the CQM DB as training and examination samples for producing and controlling modernised versions of the ASA exported to the LCMCA as modernisations of the executive ASA analysers, statistics of the correlation of DIP-AA-2-1 are collected in the CQM without adjustments by the user or with amendments thereto in order to make a decision on the possibility of applying LCMCA combines with modernised ASAs as autonomous automatic analysers.
EFFECT: creation of a method for collective training of a group of operated scanning laboratory-cloud microscopy combine analysers.
1 cl, 3 dwg
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Authors
Dates
2021-09-17—Published
2020-07-21—Filed