TongueSim: Development of an Automated Method for Rapid Assessment of Fungiform Papillae Density for Taste Research
| Autor: | John E. Hayes, Shauna M. O’Brien, Emma L. Feeney, Shourjya Sanyal |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Taste
Physiology Computer science 02 engineering and technology Automation 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine stomatognathic system Tongue Physiology (medical) Image Processing Computer-Assisted Photography 0202 electrical engineering electronic engineering information engineering medicine Humans Lingual papilla business.industry Pattern recognition Taste Buds Sensory Systems Rapid assessment medicine.anatomical_structure Taste function Original Article 020201 artificial intelligence & image processing Artificial intelligence business Software 030217 neurology & neurosurgery Automated method |
| Zdroj: | Chemical Senses. 41:357-365 |
| ISSN: | 1464-3553 0379-864X |
| DOI: | 10.1093/chemse/bjw008 |
| Popis: | Taste buds are found on the tongue in 3 types of structures: the fungiform papillae, the foliate papillae, and the circumvallate papillae. Of these, the fungiform papillae (FP) are present in the greatest numbers on the tongue, and are thought to be correlated to the overall number of taste buds. For this reason, FP density on the tongue is often used to infer taste function, although this has been controversial. Historically, videomicroscopy techniques were used to assess FP. More recently, advances in digital still photography and in software have allowed the development of rapid methods for obtaining high quality images in situ. However, these can be subject to inter-researcher variation in FP identification, and are somewhat limited in the parameters that can be measured. Here, we describe the development of a novel, automated method to count the FP, using the TongueSim suite of software. Advantages include the reduction in time required for image analysis, elimination of researcher bias, and the added potential to measure characteristics such as the degree of roundness of each papilla. We envisage that such software has a wide variety of novel research applications. |
| Databáze: | OpenAIRE |
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