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Influence of sample preparation optimization on the accuracy of dose assessment of an automatic non-fluorescent MN scoring system.

Tímea HülberZsuzsa S KocsisJudit NémethEnikõ KisFrancesco d'ErricoGéza SáfrányCsilla Pesznyák
Published in: International journal of radiation biology (2021)
With the technique described in this paper, the suitability for automated scoring of a micronucleus slide can be tested quantitatively and objectively. A method is presented with which in some cases the uncertainty of the assessed doses due to variance in sample quality can be decreased or if it is not possible its bias can be predicted. The proposed protocol leads to more reliable estimation of dose. The SQPs are designed in a way that they have the potential to be adapted to similar systems.
Keyphrases
  • deep learning
  • machine learning
  • randomized controlled trial
  • physical activity
  • quantum dots
  • high throughput
  • quality improvement
  • molecularly imprinted
  • label free
  • ionic liquid
  • simultaneous determination