Skip to main content

Mathematical Algorithms for Automatic Search, Recognition, and Detection of Spots in ELISPOT Assay

  • Protocol
  • First Online:
Handbook of ELISPOT

Part of the book series: Methods in Molecular Biology ((MIMB,volume 792))

Abstract

Accuracy of spot detection and quantification plays a critical role in the analysis of ELISPOT data. Differences in staining intensities of spots and their morphological variations make it difficult developing a reliable software application. We have developed an image recognition method allowing for the automatic detection of round objects (spots) on ELISPOT images independently of the registration conditions. The emphasis is done on objects of elliptical shape which is typical for a wide range of spots that can be analyzed by both monochrome and a dual-color version of our software. The method of subdivision of objects into groups is also described which is based on color attributes of spots.

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

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Yu. P. Pyt’ev (1993) Morphological Image Analysis. Pattern Recognition and Image Analysis. 1, 19 – 28.

    Google Scholar 

  2. S. S. Zadorozhny, Yu. P. Pyt’ev, and Chulichkov, A. I. (2000) Morphological Methods in Automatic Recognition of Cars’ License Plates from Their Video-Images. Pattern Recognition and Image Analysis. 2, 288–292.

    Google Scholar 

  3. Yu. I. Zhuravlev (1998) An Algebraic Approach to Recognition or Classifications Problems. Pattern Recognition and Image Analysis. 1, 59–100.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nikolai N. Martynov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Zadorozhny, S.S., Martynov, N.N. (2012). Mathematical Algorithms for Automatic Search, Recognition, and Detection of Spots in ELISPOT Assay. In: Kalyuzhny, A. (eds) Handbook of ELISPOT. Methods in Molecular Biology, vol 792. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-61779-325-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-1-61779-325-7_12

  • Published:

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-61779-324-0

  • Online ISBN: 978-1-61779-325-7

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics