Noninvasive real‐time imaging of mite skin infestations with line‐field confocal optical coherence tomography

2020 ◽  
Author(s):  
C. Ruini ◽  
S. Schuh ◽  
D. Hartmann ◽  
L. French ◽  
J. Welzel ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Real Time ◽  
Optical Coherence ◽  
Line Field ◽  
Real Time Imaging

Optical Coherence Tomography: Real-time Imaging of Bronchial Airways Microstructure and Detection of Inflammatory/Neoplastic Morphologic Changes

2006 ◽  
Vol 12 (3) ◽  
pp. 813-818 ◽  
Author(s):  
Suzanne C. Whiteman ◽  
Ying Yang ◽  
Daniel Gey van Pittius ◽  
Mark Stephens ◽  
Jitendra Parmer ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Real Time ◽  
Optical Coherence ◽  
Real Time Imaging ◽  
Morphologic Changes

scholarly journals Improvement of tissue analysis and classification using optical coherence tomography combined with Raman spectroscopy

2015 ◽  
Vol 08 (04) ◽  
pp. 1550006 ◽  
Author(s):  
Chih-Hao Liu ◽  
Ji Qi ◽  
Jing Lu ◽  
Shang Wang ◽  
Chen Wu ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Optical Coherence Tomography ◽  
Real Time ◽  
Prediction Accuracy ◽  
Tissue Characterization ◽  
Optical Biopsy ◽  
Support Vector ◽  
Optical Coherence ◽  
Tissue Analysis ◽  
Real Time Imaging

Optical coherence tomography (OCT) provides significant advantages of high resolution (approaching the histopathology level) real-time imaging of tissues without use of contrast agents. Based on these advantages, the microstructural features of tumors can be visualized and detected intra-operatively. However, it is still not clinically accepted for tumor margin delineation due to poor specificity and accuracy. In contrast, Raman spectroscopy (RS) can obtain tissue information at the molecular level, but does not provide real-time imaging capability. Therefore, combining OCT and RS could provide synergy. To this end, we present a tissue analysis and classification method using both the slope of OCT intensity signal vs depth and the principle components from the RS spectrum as the indicators for tissue characterization. The goal of this study was to understand prediction accuracy of OCT and combined OCT/RS method for classification of optically similar tissues and organs. Our pilot experiments were performed on mouse kidneys, livers, and small intestines (SIs). The prediction accuracy with five-fold cross validation of the method has been evaluated by the support vector machine (SVM) method. The results demonstrate that tissue characterization based on the OCT/RS method was superior compared to using OCT structural information alone. This combined OCT/RS method is potentially useful as a noninvasive optical biopsy technique for rapid and automatic tissue characterization during surgery.

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