scholarly journals Polarization sensitivity as a visual contrast enhancer in the Emperor dragonfly larva, Anax imperator

2015 ◽  
Vol 218 (21) ◽  
pp. 3399-3405 ◽  
Author(s):  
C. R. Sharkey ◽  
J. C. Partridge ◽  
N. W. Roberts
Keyword(s):  
Polarization Sensitivity ◽  
Visual Contrast ◽  
Dragonfly Larva

The large photoresponse and high polarization sensitivity of Te-based optoelectronic devices with the adsorbed hydroxide ions

2021 ◽  
Vol 118 (22) ◽  
pp. 221109
Author(s):  
Le-Le Gong ◽  
Wen Xiong ◽  
Yi-Qun Xie ◽  
Jie Hu ◽  
Pu Huang ◽  
...  
Keyword(s):  
Optoelectronic Devices ◽  
Polarization Sensitivity ◽  
High Polarization

scholarly journals Synthetic polarization-sensitive optical coherence tomography by deep learning

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yi Sun ◽  
Jianfeng Wang ◽  
Jindou Shi ◽  
Stephen A. Boppart
Keyword(s):  
Optical Coherence Tomography ◽  
Deep Learning ◽  
Imaging System ◽  
Imaging Modality ◽  
Similarity Index ◽  
Polarization Sensitivity ◽  
Imaging Method ◽  
Optical Coherence ◽  
The Real ◽  
Oct Imaging

AbstractPolarization-sensitive optical coherence tomography (PS-OCT) is a high-resolution label-free optical biomedical imaging modality that is sensitive to the microstructural architecture in tissue that gives rise to form birefringence, such as collagen or muscle fibers. To enable polarization sensitivity in an OCT system, however, requires additional hardware and complexity. We developed a deep-learning method to synthesize PS-OCT images by training a generative adversarial network (GAN) on OCT intensity and PS-OCT images. The synthesis accuracy was first evaluated by the structural similarity index (SSIM) between the synthetic and real PS-OCT images. Furthermore, the effectiveness of the computational PS-OCT images was validated by separately training two image classifiers using the real and synthetic PS-OCT images for cancer/normal classification. The similar classification results of the two trained classifiers demonstrate that the predicted PS-OCT images can be potentially used interchangeably in cancer diagnosis applications. In addition, we applied the trained GAN models on OCT images collected from a separate OCT imaging system, and the synthetic PS-OCT images correlate well with the real PS-OCT image collected from the same sample sites using the PS-OCT imaging system. This computational PS-OCT imaging method has the potential to reduce the cost, complexity, and need for hardware-based PS-OCT imaging systems.

Visual contrast modulates maturation of camouflage body patterning in cuttlefish (Sepia pharaonis).

2010 ◽  
Vol 124 (3) ◽  
pp. 261-270 ◽  
Author(s):  
Yi-Hsin Lee ◽  
Hong Young Yan ◽  
Chuan-Chin Chiao
Keyword(s):  
Sepia Pharaonis ◽  
Visual Contrast ◽  
Body Patterning

scholarly journals Visual Contrast Sensitivity in Early-Stage Parkinson's Disease

2016 ◽  
Vol 57 (13) ◽  
pp. 5696 ◽  
Author(s):  
Wendy Ming ◽  
Dimitrios J. Palidis ◽  
Miriam Spering ◽  
Martin J. McKeown
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Contrast Sensitivity ◽  
Early Stage ◽  
Visual Contrast ◽  
Visual Contrast Sensitivity

Polarization sensitivity testing of off-plane reflection gratings

2015 ◽  
Author(s):  
Hannah Marlowe ◽  
Randal L. McEntaffer ◽  
Casey T. DeRoo ◽  
Drew M. Miles ◽  
James H. Tutt ◽  
...  
Keyword(s):  
Polarization Sensitivity ◽  
Sensitivity Testing ◽  
Reflection Gratings

scholarly journals Ultraviolet polarization vision in fishes: possible mechanisms for coding e–vector

2000 ◽  
Vol 355 (1401) ◽  
pp. 1187-1190 ◽  
Author(s):  
Craig W. Hawryshyn
Keyword(s):  
Polarized Light ◽  
Spatial Arrangement ◽  
Short Review ◽  
Research Problem ◽  
Polarization Sensitivity ◽  
Polarization Vision ◽  
Selective Reflection ◽  
Mosaic Pattern ◽  
Cone Mosaic ◽  
Biophysical Mechanism

Polarization vision in vertebrates has been marked with significant controversy over recent decades. In the last decade, however, models from two laboratories have indicated that the spatial arrangement of photoreceptors provides the basis for polarization sensitivity.Work in my laboratory, in collaboration with I. Novales Flamarique and F. I. Harosi, has shown that polarization sensitivity depends on a well–defined square cone mosaic pattern and that the biophysical properties of the square cone mosaic probably account for polarization vision in the ultraviolet spectrum. The biophysical mechanism appears to be based on the selective reflection of axial–polarized light by the partitioning membrane, formed along the contact zone between the members of the double cones, onto neighbouring ultraviolet–sensitive cones. In this short review, I discuss the historical development of this research problem.

scholarly journals The role of boundary length and adjacent patch contrast in guppy mate choice

2020 ◽  
Author(s):  
Adélaïde Sibeaux ◽  
Thomas Camduras ◽  
John A Endler
Keyword(s):  
Mate Choice ◽  
Coefficient Of Variation ◽  
Color Pattern ◽  
Strength Analysis ◽  
Visual Contrast ◽  
Female Preferences ◽  
Signal Amplifier ◽  
Polymorphic Species ◽  
Adjacent Patch

Abstract The presence of various combinations of adjacent colors within polymorphic species’ color pattern could have a major impact on mate choice. We studied the role of pattern geometry in predicting mate choice in guppies using boundary strength analysis (BSA). BSA estimates the visual contrast intensity between two adjacent color patches (ΔS) weighted by the lengths of the boundaries between these adjacent color patches. We measured both the chromatic (hue and saturation) and achromatic (luminance) ΔS for each pair of adjacent patches. For each male’s color pattern, we measured BSA as both mean (mΔS) and coefficient of variation (cvΔS) of all ΔS weighted by their corresponding boundary lengths. We also determined if specific color patch boundaries had an impact on female preferences and whether these predicted overall male contrast (mΔS). We found that males with a higher mΔS were more attractive to females and that six boundaries containing either fuzzy black or black as one of the pair colors significantly affected female preferences, indicating that 1) females favored highly conspicuous males and 2) melanin-based patches could be used as a signal amplifier, not only for orange but for other colors.

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