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関連する概念動画

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.
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The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

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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.
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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

3.3K
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

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

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量子インスピレーションによる計算イメージング

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
まとめ
この要約は機械生成です。

コンピュータによるイメージングは,特に低照度条件では,より少ない測定を用いて画像形成を強化します. 量子に触発されたセンサーとアルゴリズムの進歩は 低流量イメージングとセンシングアプリケーションの進歩を促しています

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Gradient Echo Quantum Memory in Warm Atomic Vapor
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Gradient Echo Quantum Memory in Warm Atomic Vapor
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科学分野:

  • コンピュータ画像
  • 量子感知による検出
  • 低光でのイメージング

背景:

  • 従来のイメージングは 弱い,稀な,または間接的な測定で苦労します.
  • 超高速イメージングなどの低照明条件では大きな課題があります.
  • 最近の センサー技術とアルゴリズムの進歩により 新しい画像処理能力が生まれています

研究 の 目的:

  • 低照明画像の課題の概要を提示する.
  • 極端なイメージング条件のための最近の解決策を強調します.
  • センサデータ分析の共同設計を通じて コンピューティングイメージングの未来を議論する

主な方法:

  • コンピュータによる画像処理の概要
  • 量子インスピレーションによるイメージングセンサーのレビュー
  • スケーラブルなチップ内データ処理アルゴリズムの分析

主要な成果:

  • 低光流量画像とセンサーの 顕著な進歩です
  • 極端なイメージング条件でのメソッドの成功応用
  • 画像形成の強化のための強力なデータ処理の実証.

結論:

  • コンピュータによるイメージングは 測定の限界を克服するために不可欠です
  • センサーとデータ分析ツールの共同設計により,最適なイメージングソリューションが得られます.
  • 将来のイメージングは,統合されたハードウェアとソフトウェアの進歩から利益を得ます.