Fluorescence spectroscopy using excitation and emission matrix for quantification of tissue native fluorophores and cancer diagnosis

2014 ◽  
Author(s):  
Binlin Wu ◽  
S. K. Gayen ◽  
M. Xu
Keyword(s):  
Fluorescence Spectroscopy ◽  
Cancer Diagnosis ◽  
Excitation And Emission Matrix

Characterization of coal oil using three-dimensional excitation and emission matrix fluorescence spectroscopy

2009 ◽  
Vol 7 (1) ◽  
pp. 85-87 ◽  
Author(s):  
肖雪 Xue Xiao ◽  
张玉钧 Yujun Zhang ◽  
王志刚 Zhigang Wang ◽  
金丹 Dan Jin ◽  
殷高方 Gaofang Yin ◽  
...  
Keyword(s):  
Fluorescence Spectroscopy ◽  
Three Dimensional ◽  
Excitation And Emission Matrix

Fluorescence spectroscopy for colon cancer diagnosis

1994 ◽  
Author(s):  
George I. Zonios ◽  
Robert M. Cothren, Jr. ◽  
Joseph Arendt ◽  
Jun Wu ◽  
James M. Crawford ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Fluorescence Spectroscopy ◽  
Cancer Diagnosis

scholarly journals Estimation of Citrus Maturity with Florescence Spectroscopy Using Deep Learning

Horticulturae ◽  
2018 ◽  
Vol 5 (1) ◽  
pp. 2 ◽  
Author(s):  
Kenta Itakura ◽  
Yoshito Saito ◽  
Tetsuhito Suzuki ◽  
Naoshi Kondo ◽  
Fumiki Hosoi
Keyword(s):  
Fluorescence Spectroscopy ◽  
Sugar Content ◽  
Absolute Error ◽  
Soluble Solids ◽  
Bayesian Optimization ◽  
Citrus Peel ◽  
Acid Ratio ◽  
Fruit Maturity ◽  
Excitation And Emission Matrix ◽  
Solids Content

To produce high-quality citrus, the harvest time of citrus should be determined by considering its maturity. To evaluate citrus maturity, the Brix/acid ratio, which is the ratio of sugar content or soluble solids content to acid content, is one of the most commonly used indicators of fruit maturity. To estimate the Brix/acid ratio, fluorescence spectroscopy, which is a rapid, sensitive, and cheap technique, was adopted. Each citrus peel was extracted, and its fluorescence value was measured. Then, the fluorescent spectrum was analyzed using a convolutional neural network (CNN). In fluorescence spectroscopy, a matrix called excitation and emission matrix (EEM) can be obtained, in which each fluorescence intensity was recorded at each excitation and emission wavelength. Then, by regarding the EEM as an image, the Brix/acid ratio of juice from the flesh was estimated via performing a regression with a CNN (CNN regression). As a result, the Brix/acid ratio absolute error was estimated to be 2.48, which is considerably better than the values obtained by the other methods in previous studies. Hyperparameters, such as depth of layers, learning rate, and the number of filters used for this estimation, could be observed using Bayesian optimization, and the optimization contributed to the high accuracy.

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