Skip to main content
SpringerLink
Log in
Book cover

International Conference on Intelligent Computing

ICIC 2015: Advanced Intelligent Computing Theories and Applications pp 669–678Cite as

Automatic Detection of Yeast and Pseudohyphal Form Cells in the Human Pathogen Candida Glabrata

  • Conference paper
  • First Online:

  • 2944 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9227))

Abstract

The morphological switching shown by Candida glabrata between oval-shaped budding yeast cells and elongated pseudohyphal growth structures has been found to be related to its ability to undergo invasive growth, and thus, predicted to affect virulence. Therefore, the morphological analysis of C. glabrata cell cultures is a procedure of clinical relevance. In the present study, a pioneering algorithm was developed to automatically detect both yeast and pseudohyphal form structures from a database of 82 phase contrast microscopy images of C. glabrata cell cultures. The algorithm produced robust results, despite some limitations in the quality of the images, having detected correctly 84.56 % and 51.94 % of the yeast form cells and pseudohyphal structures, respectively. Future work should focus on improving these results by incorporating the analysis of cell nuclei or septa positions, extracted from fluorescence images.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

References

  1. Fidel Jr., P.L., Vazquez, J.A., Sobel, J.D.: Candida glabrata: review of epidemiology, pathogenesis, and clinical disease with comparison to C. albicans. Clin. Microbiol. Rev. 12(1), 80–96 (1999)

    Google Scholar 

  2. Mishra, N., Prasad, T., Sharma, N., Payasi, A., Prasad, R., Gupta, D., Singh, R.: Pathogenicity and drug resistance in candida albicans and other yeast species. Acta Microbiol. Immunol. Hung. 54(3), 201–235 (2007)

    Article  MATH  Google Scholar 

  3. Perlroth, J., Choi, B., Spellberg, B.: Nosocomial fungal infections: epidemiology, diagnosis, and treatment. Med. Mycol. 45(4), 321–346 (2007)

    Article  Google Scholar 

  4. Csank, C., Haynes, K.: Candida glabrata displays pseudohyphal growth. FEMS Microbiol. Lett. 189(1), 115–120 (2000)

    Article  Google Scholar 

  5. Lorenz, M., Cutler, N., Heitman, J.: Characterization of alcohol-induced filamentous growth in saccharomyces cerevisiae. Mol. Biol. Cell 11(1), 183–199 (2000)

    Article  Google Scholar 

  6. Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  7. Lam, L., Lee, S.-W., Suen, C.Y.: Thinning methodologies - a comprehensive survey. IEEE Trans. Pattern Anal. Mach. Intell. 14(9), 869–885 (1992)

    Article  Google Scholar 

  8. Davies, E.R.: Machine Vision: Theory, Algorithms, Practicalities. Morgan Kaufmann Publishers Inc., San Francisco (2004)

    MATH  Google Scholar 

  9. Atherton, T.J., Kerbyson, D.J.: Using phase to represent radius in the coherent circle hough transform. In: IEEE Colloquium on Hough Transforms, pp. 5–10. IET (1993)

    Google Scholar 

  10. Li, C., Xu, C., Gui, C., Fox, M.D.: Distance regularized level set evolution and its application to image segmentation. IEEE Trans. Image Process. 19(12), 3243–3254 (2010)

    Article  MathSciNet  Google Scholar 

  11. Kroon, D., Slump, C.H.: Coherence filtering to enhance the mandibular canal in cone-beam CT data. In: 4th Annual Symposium of the IEEE-EMBS Benelux Chapter, pp. 41–44. IEEE-EMBS Benelux Chapter, Enschede, The Netherlands (2009)

    Google Scholar 

  12. Kroon, D.-J., Slump, C.H., Maal, T.J.J.: Optimized anisotropic rotational invariant diffusion scheme on cone-beam CT. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part III. LNCS, vol. 6363, pp. 221–228. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Biomedical Engineering Center, Chiang Mai University, Chiang Mai, 50200, Thailand

    Luis Frazao, Nipon Theera-Umpon & Sansanee Auephanwiriyakul

  2. Department of Bioengineering and IBB - Institute for Bioengineering and Biosciences, Instituto Superior Tecnico, Universidade de Lisboa, 1049-001, Lisbon, Portugal

    Rui Santos & Miguel Cacho Teixeira

  3. Department of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, 50200, Thailand

    Nipon Theera-Umpon

  4. Department of Computer Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, 50200, Thailand

    Sansanee Auephanwiriyakul

Authors
  1. Luis Frazao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rui Santos
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Miguel Cacho Teixeira
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Nipon Theera-Umpon
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Sansanee Auephanwiriyakul
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nipon Theera-Umpon .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Incheon, Korea (Republic of)

    Kyungsook Han

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Frazao, L., Santos, R., Teixeira, M.C., Theera-Umpon, N., Auephanwiriyakul, S. (2015). Automatic Detection of Yeast and Pseudohyphal Form Cells in the Human Pathogen Candida Glabrata. In: Huang, DS., Han, K. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science(), vol 9227. Springer, Cham. https://doi.org/10.1007/978-3-319-22053-6_69

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-22053-6_69

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22052-9

  • Online ISBN: 978-3-319-22053-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation