Assisted differentiated stem cell classification in infrared spectroscopy using auditory feedback

Domenico Vicinanza, Matthew Baker, Ryan Stables, Graeme Clemens

Research output: Contribution to conferencePaperpeer-review

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In this study we investigate ways in which data sonification can improve standard data analysis techniques currently employed in the analysis of stem-cells using Fourier Transform Infrared (FTIR) Spectroscopy. Four different sonification methods have been evaluated
and their effectiveness has been evaluated through listening tests, designed to assess the discriminating capability of the auditory technique. We identify FM synthesis driven by feature extraction as the most perceptually relevant technique for the auditory classification of FTIR data. Whilst this technique is not commonly used in sonification research, it allows us to utilise the most salient characteristics of the absorption spectra, leading to an improved classification accuracy with a clear timbral differences between differentiated and non-differentiated cell-types.
Original languageEnglish
Number of pages6
Publication statusPublished - Jun 2014
Event20th International Conference on Auditory Display (ICAD–2014) - New York University’s Steinhardt School of Culture, Education and Human Development, New York, United States
Duration: 22 Jun 201425 Jun 2014


Conference20th International Conference on Auditory Display (ICAD–2014)
Country/TerritoryUnited States
CityNew York


  • stem cell classification
  • Infrared spectroscopy
  • auditory classification


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