High-speed, label-free second harmonic generation holographic microscopy of biological specimens

2011 ◽  
Author(s):  
Philip Schlup ◽  
Omid Masihzadeh ◽  
Randy A. Bartels
Keyword(s):  
Second Harmonic Generation ◽  
Harmonic Generation ◽  
High Speed ◽  
Second Harmonic ◽  
Label Free ◽  
Holographic Microscopy

scholarly journals Label-free second harmonic generation holographic microscopy of biological specimens

2010 ◽  
Vol 18 (10) ◽  
pp. 9840 ◽  
Author(s):  
Omid Masihzadeh ◽  
Philip Schlup ◽  
Randy A. Bartels
Keyword(s):  
Second Harmonic Generation ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Label Free ◽  
Holographic Microscopy

scholarly journals Machine learning-enabled cancer diagnostics with widefield polarimetric second-harmonic generation microscopy

2021 ◽  
Author(s):  
Kamdin Mirsanaye ◽  
Leonardo Uribe Castaño ◽  
Yasmeen Kamaliddin ◽  
Ahmad Golaraei ◽  
Renaldas Augulis ◽  
...  
Keyword(s):  
Second Harmonic Generation ◽  
Harmonic Generation ◽  
Tumor Tissue ◽  
Second Harmonic ◽  
Tissue Microarrays ◽  
Cancer Diagnostics ◽  
Label Free ◽  
Second Harmonic Generation Microscopy ◽  
Trained Classifier ◽  
Omission Rate

The extracellular matrix (ECM) collagen undergoes major remodeling during tumorigenesis. However, alterations to the ECM are not widely considered in cancer diagnostics, due to mostly uniform appearance of collagen fibers in white light images of hematoxylin and eosin-stained tissue sections. Polarimetric second-harmonic generation (P-SHG) microscopy enables label-free visualization and ultrastructural investigation of non-centrosymmetric molecules, which, when combined with texture analysis, provides multiparameter characterization of tissue collagen. This paper demonstrates whole slide imaging of breast tissue microarrays using high-throughput widefield P-SHG microscopy. The resulting P-SHG parameters are used in classification to differentiate tumor tissue from normal with 94.2% accuracy and F1-score, and 6.3% false discovery rate. Subsequently, the trained classifier is employed to predict tumor tissue with 91.3% accuracy, 90.7% F1-score, and 13.8% false omission rate. As such, we show that widefield P-SHG microscopy reveals collagen ultrastructure over large tissue regions and can be utilized as a sensitive biomarker for cancer diagnostics and prognostics studies.

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