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Adaptive predictive scanning method based on a high-precision automatic microscopy system

  • Junjie Hu
  • , Bowen Zhong*
  • , Ziqi Jin
  • , Zhenhua Wang
  • , Lining Sun
  • *Corresponding author for this work
  • Soochow University

Research output: Contribution to journalArticlepeer-review

Abstract

Predicting the focal plane is an effective method to increase the scanning speed of an automatic microscopy system. However, the image easily defocuses when using traditional predictive scanning methods. In this paper, we introduce an adaptive predictive scanning method (APSM) that greatly improves the accuracy of predictive scanning. Instead of using a fixed planar model to predict the focal plane position, APSM updates the predicted focal plane in real time based on the focal position of the reference point during the scanning process, thus predicting the focal position of each local view more accurately. Using the APSM, the average image defocus value is 0.39 μm, while conventional predictive scanning methods reach 1.05 μm. APSM greatly improves focal accuracy and can be applied to a high-precision automatic microscopy system.

Original languageEnglish
Pages (from-to)7305-7310
Number of pages6
JournalApplied Optics
Volume58
Issue number27
DOIs
StatePublished - 20 Sep 2019
Externally publishedYes

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