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Quantum Numbers02:43

Quantum Numbers

50.8K
It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
50.8K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

58.4K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
58.4K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
387
Mechanism of Breathing I: Inspiration01:30

Mechanism of Breathing I: Inspiration

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Introduction to Inspiration: The Respiratory System in Action
The respiratory system, an essential network for breathing, comprises the conducting and respiratory zones, each playing a crucial role in the overall process of respiration. Let us explore the detailed mechanism of inspiration, or inhalation, which is the first phase of the respiratory cycle.
Pathway of Air during Inspiration
During inspiration, air enters our body through the nose or mouth and moves through the conducting zone,...
3.3K
Computed Tomography01:10

Computed Tomography

8.8K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
8.8K
Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

342
Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
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Updated: Feb 6, 2026

Compact Quantum Dots for Single-molecule Imaging
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Compact Quantum Dots for Single-molecule Imaging

Published on: October 9, 2012

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Imágenes computacionales de inspiración cuántica

Yoann Altmann1, Stephen McLaughlin1, Miles J Padgett2

  • 1School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK.

Science (New York, N.Y.)
|August 18, 2018
PubMed
Resumen
Este resumen es generado por máquina.

La imagen computacional mejora la formación de imágenes utilizando menos mediciones, especialmente en condiciones de poca luz. Los avances en los sensores y algoritmos de inspiración cuántica están impulsando el progreso en las aplicaciones de imágenes y detección de bajo flujo.

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Área de la Ciencia:

  • Imágenes computacionales
  • La detección de inspiración cuántica
  • Imágenes con poca luz

Sus antecedentes:

  • Las imágenes tradicionales luchan con mediciones débiles, escasas o indirectas.
  • Las condiciones de poca iluminación, como las imágenes ultrarrápidas, presentan desafíos significativos.
  • Los avances recientes en tecnología de sensores y algoritmos están permitiendo nuevas capacidades de imagen.

Objetivo del estudio:

  • Proporcionar una visión general de los desafíos en las imágenes de baja iluminación.
  • Para resaltar soluciones recientes para condiciones de imagen extremas.
  • Discutir el futuro de las imágenes computacionales a través del diseño conjunto de análisis de datos de sensores.

Principales métodos:

  • Visión general de las técnicas de imagen computacional.
  • Revisión de los sensores de imágenes de inspiración cuántica.
  • Análisis de algoritmos de procesamiento de datos escalables en el chip.

Principales resultados:

  • Avances notables en imágenes y sensores de flujo de poca luz.
  • Aplicación exitosa de métodos en condiciones de imagen extremas.
  • Demostración de un procesamiento de datos robusto para mejorar la formación de imágenes.

Conclusiones:

  • La imagen computacional es crucial para superar las limitaciones de medición.
  • El diseño conjunto de sensores y herramientas de análisis de datos dará lugar a soluciones óptimas de imágenes.
  • Las futuras imágenes se beneficiarán de los avances integrados de hardware y software.