Stokes polarimetry-based second harmonic generation microscopy for collagen and skeletal muscle fiber characterization

Mazumder, Nirmal; Kao, Fu Jen

doi:10.1007/s10103-020-03144-6

Cited by 8 publications

(3 citation statements)

References 53 publications

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“…R-ratio has been successfully used to differentiate normal and malignant tissues in lung, breast, thyroid, and pancreas 11 – 13 , 16 . The value of DCP is closely related to the R-ratio in non-scattering tissue and reflects the disorder and depolarization in the sample 28 , 29 . SHG-CD depends on the R-Ratio, out-of-plane fiber tilt angle and polarity, and the phase retardance between the achiral and chiral susceptibility components 10 , 24 , 30 , 31 .…”

Section: Resultsmentioning

confidence: 99%

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

Mirsanaye

Castaño

Kamaliddin

et al. 2022

Sci Rep

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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 (H&E) 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 from normal tissue, resulting in 94.2% for both 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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Section: Resultsmentioning

confidence: 99%

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

Mirsanaye

Castaño

Kamaliddin

et al. 2022

Sci Rep

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“…However, the developments using nonlinear light-matter interactions found an important perspective in structural molecular and biological imaging with the only drawback, in some cases, of requiring high illumination intensities [204]. Stokes polarimetry based on second harmonic generation provided new insights into collagen and skeletal muscle fibres [205] coupled with interesting solutions in terms of models and calibration procedures [206]. Moreover, approaches focused on optimizing imaging depth of scattering tissues [207] consolidated important label-free protocols towards the evaluation of bone-engineered materials [208].…”

Section: The Intelligent Microscope: An Examplementioning

confidence: 99%

Emerging Mueller matrix microscopy applications in biophysics and biomedicine

Diaspro,

Bianchini,

Callegari

et al. 2023

Riv. Nuovo Cim.

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Polarized and wide-field light microscopy has been studied for many years to develop accurate and information-rich images within a focused framework on biophysics and biomedicine. Technological advances and conceptual understanding have recently led to significant results in terms of applications. Simultaneously, developments in label-free methods are opening a new window on molecular imaging at a low dose of illumination. The ability to encode and decode polarized light pixel by pixel, coupled with the computational strength provided by artificial intelligence, is the running perspective of label-free optical microscopy. More specifically, the information-rich content Mueller matrix microscopy through its 16 elements offers multimodal imaging, an original data set to be integrated with other advanced optical methods. This dilates the spectrum of possible and potential applications. Here, we explore the recent advances in basic and applied research towards technological applications tailored for specific questions in biophysics and biomedicine.

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“…Nataliia Pavlyukovich et al [9] demonstrated Stokes polarimetric imaging could be used for early detection of erythrocytes membrane disorders, which was meaningful for the diagnosis and treatment of most diseases of internal organs such as coronary artery disease and type 2 diabetes. Mazumder et al [10] used Stokes polarimetry to investigate the molecular structure of second harmonic generation active molecules such as collagen type I and myosin, which means Stokes polarimetry has great potential in the field of molecular structure in biomedicine. Besides, it is worth emphasizing that Stokes polarimetric imaging requires the circularly polarized light as the incident light, which is due to the circularly polarized light has strong polarization memory and is insensitive to the orientation of the sample with respect to the measurement system.…”

Section: Introductionmentioning

confidence: 99%

Error analysis of rapid Stokes polarimetric imaging with circularly polarized illumination

Long

et al. 2022

Thirteenth International Conference on Information Optics and Photonics (CIOP 2022)

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Depolarization and linear-retardance are the increasingly interesting polarization characteristics for disease diagnosis in clinic and scientific study. They can not only be obtained by Mueller polarimetry normally, but also the Stokes polarimetric imaging. Stokes polarimetric imaging with circularly polarized illumination can provide the main optical properties of tissues with a simpler device in a shorter time, which is much more attractive. Unfortunately, it is difficult to realize the standard circularly polarized illumination actually in experiments. In this paper, we establish a theoretical model to display the relationship between the nonstandard circularly polarized illumination and the accuracy of the measurement results. Compared to the measurement results by Mueller polarimetry, we found that the depolarizations measured are the same but retardances measured are not. And except the influence of the nonstandard circularly polarized illumination, the sample’s optical characteristics also affect the accuracy of the measured retardance. Additionally, we have conducted a comparative experiment between Mueller polarimetry and the Stokes polarimetric imaging to verify. According to the simulation and experiment, we have confirmed that Stokes polarimetric imaging has good performance in measuring most samples and broadband detection, but there is a large error for measuring strongly birefringent samples. Our work quantitatively analyzes the effect of nonstandard circularly polarized illumination on the accuracy of Stokes polarimetric imaging through theoretical derivation for the first time. It enriches the error theory of Stokes polarimetric imaging with circularly polarized illumination and lays a foundation for the improvement and application.

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Stokes polarimetry-based second harmonic generation microscopy for collagen and skeletal muscle fiber characterization

Cited by 8 publications

References 53 publications

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

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

Emerging Mueller matrix microscopy applications in biophysics and biomedicine

Error analysis of rapid Stokes polarimetric imaging with circularly polarized illumination

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