Skip to main content

A Modified Nearest Neighbor Method for Image Reconstruction in Fluorescence Microscopy

  • Conference paper
Image Analysis and Recognition (ICIAR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3212))

Included in the following conference series:

Abstract

The fluorescence microscopy is suitable to observe a plane surface of an object but, when it comes to observe a three-dimensional structure of an object, light emissions from structures at different depth are mixed and it is difficult to isolate a section image on a target plane. Various techniques have been proposed to solve this problem but current techniques require an unaffordable computation cost and simplified techniques to save the cost, such as the nearest neighbor method, only produce low quality images. In this paper, we propose a technique that separates the out-of-focus-effect from front planes and that from behind planes. We evaluated effectiveness of this technique through some experiments and showed improved results under reduced computational cost.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Agard, D.A.: Optical sectioning microscopy: cellular architecture in three dimensions. Annual Reviews in Biophysics and Bioengineering 13, 191–219 (1984)

    Article  Google Scholar 

  2. Hudoson, R., Aarsvold, J.N., Chen, C.-T.,Chen, J., Davies, P., Disz, T., Foster, I., Griem, M., Kwong, M. K., Lin, B.: An Optical Microscopy System For 3D Dynamic Imaging

    Google Scholar 

  3. Chen, J., Aarsvold, J., Chen, C.-T.: High-Performance Image Analysis and Visualization for Three-dimensional Light Microscopy (1997)

    Google Scholar 

  4. van Kempen, G.M.P.: Image Restoration in Fluorescence Microscopy (1999)

    Google Scholar 

  5. Holmes, T.J.: Light Microscopic Images Reconstructed by Maximum Likelihood Deconvolution. Handbook of Biological Confocal Microscopy, pp. 386–402. Plenum Press, New York (1995)

    Google Scholar 

  6. Conchello, J.-A., McNally, J.G.: Fast regularization technique for expectation maximization algorithm for optical sectioning microscopy. SPIE 2655, pp. 199–208 (1996)

    Google Scholar 

  7. Kubota, Aizawa: Reconstruction of images with arbitrary degree of blur by using two images of different focus conditions. Journal of IEICE (in Japanese) 83(12) (2000)

    Google Scholar 

  8. AutoDeblur, http://www.aqi.com/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yano, K., Kumazawa, I. (2004). A Modified Nearest Neighbor Method for Image Reconstruction in Fluorescence Microscopy. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30126-4_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30126-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23240-7

  • Online ISBN: 978-3-540-30126-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics