scholarly journals Towards real time assessment of intramuscular fat content in meat using optical fiber-based optical coherence tomography

Meat Science ◽  
2020 ◽  
pp. 108411
Author(s):  
Abi Thampi ◽  
Sam Hitchman ◽  
Stéphane Coen ◽  
Frédérique Vanholsbeeck
2003 ◽  
Vol 11 (23) ◽  
pp. 3116 ◽  
Author(s):  
R. A. Leitgeb ◽  
L. Schmetterer ◽  
W. Drexler ◽  
A. F. Fercher ◽  
R. J. Zawadzki ◽  
...  

Meat Science ◽  
2021 ◽  
Vol 177 ◽  
pp. 108505
Author(s):  
Stephanie M. Fowler ◽  
David Wheeler ◽  
Stephen Morris ◽  
Suzanne I. Mortimer ◽  
David L. Hopkins

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chenchen Ren ◽  
Xianxu Zeng ◽  
Zhongna Shi ◽  
Chunyan Wang ◽  
Huifen Wang ◽  
...  

AbstractIn this prospective study of an in-vivo cervical examination using optical coherence tomography (OCT), we evaluated the diagnostic value of non-invasive and real-time OCT in cervical precancerous lesions and cancer diagnosis, and determined the characteristics of OCT images. 733 patients from 5 Chinese hospitals were inspected with OCT and colposcopy-directed biopsy. The OCT images were compared with the histological sections to find out the characteristics of various categories of lesions. The OCT images were also interpreted by 3 investigators to make a 2-class classification, and the results were compared against the pathological results. Various structures of the cervical tissue were clearly observed in OCT images, which matched well with the corresponding histological sections. The OCT diagnosis results delivered a sensitivity of 87.0% (95% confidence interval, CI 82.2–90.7%), a specificity of 84.1% (95% CI 80.3–87.2%), and an overall accuracy of 85.1%. Both good consistency of OCT images and histological images and satisfactory diagnosis results were provided by OCT. Due to its features of non-invasion, real-time, and accuracy, OCT is valuable for the in-vivo evaluation of cervical lesions and has the potential to be one of the routine cervical diagnosis methods.


2016 ◽  
Vol 133 (5) ◽  
pp. 422-428 ◽  
Author(s):  
L. Leng ◽  
H. Zhang ◽  
J.Q. Dong ◽  
Z.P. Wang ◽  
X.Y. Zhang ◽  
...  

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