Measurement of PSF for the extended depth of field of microscope based on liquid lens

  • Yujia Xue*
  • , Yufu Qu
  • , Shenyu Zhu
  • *Corresponding author for this work

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

Abstract

To obtain the accurate integral PSF of an extended depth of field (EDOF) microscope based on liquid tunable lens and volumetric sampling (VS) method, a method based on statistic and inverse filtering using quantum dot fluorescence nanosphere as a point source is proposed in this paper. First, a number of raw quantum dot images were captured separately when the focus length of the liquid lens was fixed and changed over the exposure time. Second, the raw images were separately added and averaged to obtain two noise-free mean images. Third, the integral PSF was achieved by computing the inverse Fourier transform of the mean image's Fourier transform caught when the focus lens is fixed divided by that when the focus length is changed. Finally, experimental results show that restored image using the measured accumulated PSF has good image quality and no artifacts.

Original languageEnglish
Title of host publication2015 International Conference on Optical Instruments and Technology
Subtitle of host publicationOptoelectronic Imaging and Processing Technology, OIT 2015
EditorsGuangming Shi, Bormin Huang, Xuelong Li
PublisherSPIE
ISBN (Electronic)9781628418033
DOIs
StatePublished - 2015
Event2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, OIT 2015 - Beijing, China
Duration: 17 May 201519 May 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9622
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, OIT 2015
Country/TerritoryChina
CityBeijing
Period17/05/1519/05/15

Keywords

  • computational photography
  • extended depth-of-field
  • image processing
  • microscopy
  • point spread function

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