Rapid discrimination of Candida species based on optical diffraction pattern

Mitra Abedini, Hojatollah Montazeri, Ensieh Lotfali, Reza Ghasemi, Saeedesadat Badieyan, Pezhman Sasanpour

Research output: Contribution to journalArticlepeer-review

Abstract

Candidiasis occurs mainly in immunocompromised patients. Rapid detection of Candida species can play a major role in the successful management of fungal infections and treatment monitoring. Detection and discrimination of five common strains of Candida species was performed using the optical elastic scattering diffraction pattern of their colonies. Using laser light with 632 nm wavelength and the designed optical system, optical diffraction patterns of C. albicans (ATCC12261), C. tropicalis (ATCC20336), C. glabrata (15545), C. guilliermondii (20216), and C. parapsilosis (22019) were recorded, processed and analyzed. The results of our study show that based on the different structure of Candida species and dissimilar structure of their colonies, the difference between acquired diffraction patterns are recognizable. In addition, through extraction of statistical feature of the diffraction pattern images and using classification techniques, the detection and discrimination could be performed in a semi-automatic way. The analysis of the colonies of five different Candida species by the optical diffraction patterns generated from the interaction of the laser with colonies' structures demonstrated that the technique had the potential to be applied for the detection and discrimination of various species.

Original languageEnglish
Article number112630
JournalJournal of Photochemistry and Photobiology B: Biology
Volume240
DOIs
Publication statusPublished - Dec 2022
Externally publishedYes

Keywords

  • Candida species
  • Elastic light scattering
  • Image processing
  • K-nearest neighbors (k−NN) algorithm
  • Optical diffraction pattern

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