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Depth Perception and Spatial Vision01:15

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Vision01:24

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
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Once a transport vesicle has recognized its target organelle, the vesicular membrane needs to fuse with the target membrane to unload the cargo. Transmembrane proteins called SNAREs present on organelle membranes and their vesicles, mediate vesicle fusion.
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Video Experimental Relacionado

Updated: Jan 29, 2026

Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging
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Sensor de Visión Asociado Espectral-Espacial 2D Escalable para Fusión de Características Multidimensionales

Na Zhang1, Decai Ouyang1, Haoran Ge2

  • 1State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.

Advanced materials (Deerfield Beach, Fla.)
|January 28, 2026
PubMed
Resumen

Este estudio presenta un novedoso sensor de visión para la captura simultánea de datos espectrales y espaciales, mejorando la eficiencia de la teledetección. El nuevo sensor mejora el reconocimiento de características, logrando una precisión del 91,12 % en tareas de reconocimiento de topografía.

Palabras clave:
materiales 2Dheteroestructurasinapsis optoelectrónicasensor de visión

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Área de la Ciencia:

  • Optoelectrónica
  • Ciencia de Materiales
  • Teledetección

Sus antecedentes:

  • La percepción de información multidimensional (espacial, temporal, espectral) es crucial para la teledetección de alta resolución.
  • Los flujos de trabajo actuales de imagen hiperespectral son asíncronos, lo que genera redundancia de datos, latencia y un alto consumo de energía.
  • Los métodos existentes limitan el despliegue práctico debido a las ineficiencias del flujo de trabajo.

Objetivo del estudio:

  • Desarrollar un novedoso sensor de visión espectral-espacial asociado para la adquisición síncrona de información y la fusión de características a nivel de hardware.
  • Superar las limitaciones de la imagen hiperespectral asíncrona tradicional.
  • Establecer un nuevo paradigma para la fusión de información multidimensional en aplicaciones intensivas en datos.

Principales métodos:

  • Fabricación de matrices de dispositivos uniformes utilizando películas delgadas de telururo de bismuto (Bi2Te3) 2D escalables y altamente orientadas con respuesta de banda ancha.
  • Utilización del comportamiento sináptico mejorado de las matrices bajo estímulos multiespectrales para mejorar la discriminación de características.
  • Aprovechamiento de las características sinérgicas de mejora para una fusión de características eficiente.

Principales resultados:

  • Captura simultánea de información espectral y espacial a nivel de hardware.
  • Comportamiento sináptico mejorado con una relación de mejora máxima superior a 20.
  • Precisión de reconocimiento del 91,12 % para el reconocimiento de topografía en el conjunto de datos Indian Pines.

Conclusiones:

  • El sensor de visión propuesto agiliza la adquisición de datos a nivel de hardware y mejora la eficiencia del procesamiento.
  • Esta tecnología ofrece un nuevo paradigma para la fusión de información multidimensional, especialmente para flujos de datos masivos.
  • El sensor mejora significativamente el reconocimiento de características y la precisión del reconocimiento en aplicaciones de teledetección.