Nonlinear Imaging of Tissues

The primary focus in our laboratory is the study of higher order chromatin structure using three dimensional electron microscope tomography. Three dimensional tomography involves the deconstruction of an object by combining multiple projection views of the object at different tilt angles, image intensities are not always accurate representations of the projected object mass density, due to the effects of electron-specimen interactions and microscope lens aberrations. Therefore, an understanding of the mechanism of image formation is important for interpreting the images. The image formation for thick biological specimens has been analyzed by using both energy filtering and Ewald sphere constructions. Surprisingly, there is a significant amount of coherent transfer for our thick specimens. The relative amount of coherent transfer is correlated with the relative proportion of elastically scattered electrons using electron energy loss spectoscopy and imaging techniques.Electron-specimen interactions include single and multiple, elastic and inelastic scattering. Multiple and inelastic scattering events give rise to nonlinear imaging effects which complicates the interpretation of collected images.

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Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology

Visual Computing for Industry Biomedicine and Art ◽

10.1186/s42492-020-00061-x ◽

2020 ◽

Vol 3 (1) ◽

Author(s):

Shanshan Wang ◽

Yunfeng Zhao ◽

Ye Xu

Keyword(s):

Near Infrared ◽

Photoacoustic Imaging ◽

Imaging Techniques ◽

Color Doppler ◽

Power Doppler ◽

Infrared Region ◽

Detection Methods ◽

Imaging Mode ◽

Nonlinear Imaging ◽

The Relationship

Abstract Photoacoustic imaging (PAI) is often performed simultaneously with ultrasound imaging and can provide functional and cellular information regarding the tissues in the anatomical markers of the imaging. This paper describes in detail the basic principles of photoacoustic/ultrasound (PA/US) imaging and its application in recent years. It includes near-infrared-region PA, photothermal, photodynamic, and multimode imaging techniques. Particular attention is given to the relationship between PAI and ultrasonic imaging; the latest high-frequency PA/US imaging of small animals, which involves not only B-mode, but also color Doppler mode, power Doppler mode, and nonlinear imaging mode; the ultrasonic model combined with PAI, including the formation of multimodal imaging; the preclinical imaging methods; and the most effective detection methods for clinical research for the future.

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Nonlinear imaging study of extracellular matrix in chemical-induced, developmental dissecting aortic aneurysm: Evidence for defective collagen type III

Birth Defects Research Part A Clinical and Molecular Teratology ◽

10.1002/bdra.20408 ◽

2008 ◽

Vol 82 (1) ◽

pp. 16-24 ◽

Cited By ~ 12

Author(s):

Bin Gong ◽

Ju Sun ◽

Grace Vargas ◽

Qing Chang ◽

Ya Xu ◽

...

Keyword(s):

Extracellular Matrix ◽

Aortic Aneurysm ◽

Collagen Type ◽

Imaging Study ◽

Collagen Type Iii ◽

Type Iii ◽

Dissecting Aortic Aneurysm ◽

Nonlinear Imaging

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Ground-Constrained Motion Target Tracking for Monocular Sequence Images

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001418500441 ◽

2018 ◽

Vol 32 (12) ◽

pp. 1850044 ◽

Cited By ~ 1

Author(s):

Ling Guo

Keyword(s):

Background Subtraction ◽

Target Position ◽

Video Monitoring ◽

Moving Target ◽

Constrained Motion ◽

Otsu Method ◽

Test Platform ◽

Monitoring Test ◽

Nonlinear Compensation ◽

Nonlinear Imaging

For the detection of a moving target position in video monitoring images, the existing locating tracking systems mainly adopt binocular or structured light stereoscopic technology, which has drawbacks such as system design complexity and slow detection speed. In light of these limitations, a tracking method for monocular sequence moving targets is presented, with the introduction of ground constraints into monocular visual monitoring; the principle and process of the method are introduced in detail in this paper. This method uses camera installation information and geometric imaging principles combined with nonlinear compensation to derive the calculation formula for the actual position of the ground moving target in monocular asymmetric nonlinear imaging. The footprint location of a walker is searched in the sequence imaging of a monitoring test platform that is built indoors. Because of the shadow of the walker in the image, the multi-threshold OTSU method based on test target background subtraction is used here to segment the images. The experimental results verify the effectiveness of the proposed method.

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