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Classifying Matter by State02:49

Classifying Matter by State

103.0K
Chemistry is the study of matter and the changes it undergoes. Matter is anything that has mass and occupies space. Matter is all around us; the air, water, soil, mountains, even our bodies are all examples of matter. Matter is divided into three states — solid, liquid, and gas — that are commonly found on earth. The fourth state of matter, plasma, occurs naturally in the interiors of stars. 
103.0K
Classifying Matter by Composition03:35

Classifying Matter by Composition

90.2K
Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
90.2K
Physical and Chemical Properties of Matter02:57

Physical and Chemical Properties of Matter

166.1K
The characteristics that enable us to distinguish one substance from another are called properties.
166.1K
pH Scale02:41

pH Scale

79.5K
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
79.5K
The Atomic Theory of Matter02:59

The Atomic Theory of Matter

127.7K
The earliest recorded discussion of the basic structure of matter comes from ancient Greek philosophers. Leucippus and Democritus argued that all matter was composed of small, finite particles that they called atomos, meaning “indivisible.” Later, Aristotle and others came to the conclusion that matter consisted of various combinations of the four “elements” — fire, earth, air, and water — and could be infinitely divided. Interestingly, these philosophers...
127.7K
What is Matter?01:13

What is Matter?

15.9K
The substance of the universe—from a grain of sand to a star—is called matter. Scientists define matter as anything that occupies space and has mass. An object’s mass and its weight are related concepts, but not quite the same. An object’s mass is the amount of matter contained in the object and is the same whether that object is on Earth or in the zero-gravity environment of outer space. An object’s weight, on the other hand, is its mass as affected by the pull of...
15.9K

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関連する実験動画

Updated: Jan 29, 2026

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
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白質高信号の定量化:自動計測と視覚的評価尺度の比較

Arturs Titovs1, Artūrs Šilovs1,2, Kalvis Kaļva1,2,3

  • 1Department of Radiology, Riga Stradins University, LV-1007 Riga, Latvia.

Medicina (Kaunas, Lithuania)
|January 28, 2026
PubMed
まとめ

白質高信号(WMH)の自動脳MRI解析は、視覚的評価よりも認知機能低下の正確な指標を提供します。この自動化された方法は、WMH負担に関する客観的で高感度、スケーラブルな洞察を提供します。

科学分野:

キーワード:
ファゼカス分類モントリオール認知評価自動体積定量化認知障害磁気共鳴画像法神経放射線学定量的神経画像バイオマーカー領域別白質高信号総白質高信号白質高信号白質高信号体積

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A Versatile Murine Model of Subcortical White Matter Stroke for the Study of Axonal Degeneration and White Matter Neurobiology
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A Versatile Murine Model of Subcortical White Matter Stroke for the Study of Axonal Degeneration and White Matter Neurobiology

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Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
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Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

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関連する実験動画

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DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
10:05

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions

Published on: August 26, 2014

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A Versatile Murine Model of Subcortical White Matter Stroke for the Study of Axonal Degeneration and White Matter Neurobiology
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A Versatile Murine Model of Subcortical White Matter Stroke for the Study of Axonal Degeneration and White Matter Neurobiology

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Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

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  • 神経画像法;神経学;医用画像解析

背景:

  • MRI上の白質高信号(WMH)は認知機能低下と関連しています。;現在の視覚的評価(ファゼカス分類)は主観的であり、精度が欠けています。;より良い認知評価のためには、WMHの客観的な定量化が必要です。

主な方法:

  • 認知懸念のある成人MRI 41例の後ろ向き解析。;総体積および領域別体積のWMHのIcometrixソフトウェアを使用した自動セグメンテーション。;モントリオール認知評価(MoCA)を使用した認知パフォーマンスの評価と、高、中、低のグループ分け。;自動体積とファゼカス分類グレードをMoCAスコアと比較。

結論:

  • WMHの自動体積定量化は、視覚的評価よりも客観的で、高感度で、スケーラブルです。;自動解析は、WMH負担とその認知状態との関連性をより正確に測定します。;この方法は、認知機能低下の縦断的モニタリングおよび研究に適しています。