scholarly journals Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3147
Author(s):  
YoonSeok Baek ◽  
KyeoReh Lee ◽  
Jeonghun Oh ◽  
YongKeun Park

The development of optical and computational techniques has enabled imaging without the need for traditional optical imaging systems. Modern lensless imaging techniques overcome several restrictions imposed by lenses, while preserving or even surpassing the capability of lens-based imaging. However, existing lensless methods often rely on a priori information about objects or imaging conditions. Thus, they are not ideal for general imaging purposes. The recent development of the speckle-correlation scattering matrix (SSM) techniques facilitates new opportunities for lensless imaging and sensing. In this review, we present the fundamentals of SSM methods and highlight recent implementations for holographic imaging, microscopy, optical mode demultiplexing, and quantification of the degree of the coherence of light. We conclude with a discussion of the potential of SSM and future research directions.

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Jessica Beltrán ◽  
Mireya S. García-Vázquez ◽  
Jenny Benois-Pineau ◽  
Luis Miguel Gutierrez-Robledo ◽  
Jean-François Dartigues

An opportune early diagnosis of Alzheimer’s disease (AD) would help to overcome symptoms and improve the quality of life for AD patients. Research studies have identified early manifestations of AD that occur years before the diagnosis. For instance, eye movements of people with AD in different tasks differ from eye movements of control subjects. In this review, we present a summary and evolution of research approaches that use eye tracking technology and computational analysis to measure and compare eye movements under different tasks and experiments. Furthermore, this review is targeted to the feasibility of pioneer work on developing computational tools and techniques to analyze eye movements under naturalistic scenarios. We describe the progress in technology that can enhance the analysis of eye movements everywhere while subjects perform their daily activities and give future research directions to develop tools to support early AD diagnosis through analysis of eye movements.


1991 ◽  
Vol 5 (5) ◽  
pp. 343-365 ◽  
Author(s):  
Jerry S. Wiggins ◽  
Ross Broughton

Previous taxonomies of personality traits have been lexical in nature and have been concerned primarily with the meaning of adjectives in personality description. The taxonomy presented in this article employed personality scales as the units to be classified and was guided by theoretical, rather than lexical, considerations. A priori distinctions among different domains of trait‐descriptive terms identified a distinctive domain of interpersonal traits within which a preliminary conceptually‐based taxonomy was developed. The Interpersonal Adjective Scales (IAS) were constructed to provide geometrically precise semantic markers of that domain in the form of a circumplex model organized around the orthogonal coordinates of dominance and nurturance. In the course of a decade of research, some 172 personality scales were classified with reference to the IAS by computational procedures described in detail. Advantages and limitations of the current geometric taxonomy of personality scales are discussed, and future research directions are indicated.


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