Automatic Search of Spots and Color Classification in ELISPOT Assay

  • Sergey S. Zadorozhny
  • Nikolai N. Martynov
Part of the Methods in Molecular Biology book series (MIMB, volume 1808)


Accuracy of spot detection and classification 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. An image recognition method allowing the automatic detection and classification of round objects (spots) on ELISPOT images independently of the registration conditions was developed. The emphasis is done on objects of elliptical shape, which is typical for a wide range of spots. It 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.

Key words

ELISPOT Image analysis Spot recognition Spot detection Mathematical algorithm Dual-color ELISPOT 


  1. 1.
    Pyt’ev YP (1993) Morphological image analysis. Pattern Recognit Image Anal 1:19–28Google Scholar
  2. 2.
    Zadorozhny SS, Pyt’ev YP, Chulichkov AI (2000) Morphological methods in automatic recognition of cars’ license plates from their video-images. Pattern Recognit Image Anal 2:288–292Google Scholar
  3. 3.
    Zhuravlev YI (1998) An algebraic approach to recognition or classifications problems. Pattern Recognit Image Anal 1:59–100Google Scholar
  4. 4.
    Zadorozhny SS, Martynov NN (2011) Mathematical algorithms for automatic search, recognition, and detection of spots in ELISPOT assay. In: Kalyuzhny AE (ed) Handbook of ELISPOT: methods and protocols, Methods in molecular biology, vol 792. Springer Science & Business Media, New YorkGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Sergey S. Zadorozhny
    • 1
  • Nikolai N. Martynov
    • 1
  1. 1.MZ Computers, LtdMoscowRussian Federation

Personalised recommendations