Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Optical spectroscopic technologies are increasingly used for cancer diagnostics. Feasibility of differentiation between malignant and healthy samples of human kidney using Fluorescence, Raman, MIR and NIR spectroscopy has been recently reported. In the present work, a simplification of NIR spectroscopy method has been studied. Traditional high-resolution NIR spectrometry was replaced by an optical sensor based on a set of light-emitting diodes at selected wavelengths as light sources and a photodiode. Two prototypes of the sensor have been developed and tested using 14 in-vitro samples of seven kidney tumor patients. Statistical evaluation of results using principal component analysis and partial least-squares discriminant analysis has been performed. Despite only partial discrimination between tumor and healthy tissue achieved by the presented new technique, the results evidence benefits of LED-based near-infrared sensing used for oncological diagnostics. Publisher's Note: This paper, originally published on 4 March, 2016, was replaced with a corrected/revised version on 7 April, 2016. If you downloaded the original PDF but are unable to access the revision, please contact SPIE Digital Library Customer Service for assistance.
| Язык оригинала | английский |
|---|---|
| Название основной публикации | Optical Diagnostics and Sensing XVI |
| Подзаголовок основной публикации | Toward Point-of-Care Diagnostics |
| Издатель | SPIE |
| Том | 9715 |
| ISBN (электронное издание) | 9781628419498 |
| DOI | |
| Состояние | Опубликовано - 2016 |
| Событие | Optical Diagnostics and Sensing XVI: Toward Point-of-Care Diagnostics - San Francisco, Соединенные Штаты Америки Продолжительность: 14 фев 2016 → 15 фев 2016 |
| конференция | Optical Diagnostics and Sensing XVI: Toward Point-of-Care Diagnostics |
|---|---|
| Страна/Tерритория | Соединенные Штаты Америки |
| Город | San Francisco |
| Период | 14/02/16 → 15/02/16 |
ID: 9186223