Auto-focus pathology microscope using sub-array sampling

Po Hsun Wu, Chun Jen Weng, Pi Ying Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

this study compared the focusing results of binning and sub-array methods with the aim of balancing speed and accuracy. Analysis was conducted using an autofocus system comprising a microscope, CCD, PZT actuator, LED light source, and two focus algorithms. Our results showed that by selecting an image sub-array of appropriate size and shape, it was possible to reduce the time required for autofocus operations to only 1 second, while maintaining the focusing accuracy of full-field analysis techniques.

Original languageEnglish
Title of host publicationI2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538634608
DOIs
StatePublished - May 2019
Event2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019 - Auckland, New Zealand
Duration: 20 May 201923 May 2019

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
Volume2019-May
ISSN (Print)1091-5281

Conference

Conference2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019
CountryNew Zealand
CityAuckland
Period20/05/1923/05/19

Keywords

  • Auto-focus
  • Microscope
  • Pathology
  • PZT actuators
  • Sub-array

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