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関連する概念動画

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

530
A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
530
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

593
The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
593
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

1.1K
The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
1.1K
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

2.8K
When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
2.8K
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

1.6K
A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to...
1.6K
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

526
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
526

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Updated: Sep 9, 2025

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
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ラーマン光譜の説明可能なAIベースの特徴選択アプローチ

Nicola Rossberg1,2, Rekha Gautam3, Katarzyna Komolibus3

  • 1Taighde Éireann-Research Ireland Center for Research Training in Artificial Intelligence, University College Cork, College Road, T12 K8AF Cork, Ireland.

Diagnostics (Basel, Switzerland)
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PubMed
まとめ
この要約は機械生成です。

特徴選択のための説明可能な深層学習方法は,データの減少で高い精度を達成します. これらのアプローチはGradCamと注意点数を用いて モデルの透明性を向上させることで より良いがん検出と医療統合を可能にします

キーワード:
バイオフォトニクス説明可能なAIラマン光譜法組織分類特徴の選択機械学習

さらに関連する動画

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An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
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関連する実験動画

Last Updated: Sep 9, 2025

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
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Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

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Raman and IR Spectroelectrochemical Methods as Tools to Analyze Conjugated Organic Compounds
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An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
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科学分野:

  • 生物医学工学
  • コンピュータ生物学
  • スペクトロスコーピー

背景:

  • ラマン光譜法では 腫瘍を正確に検出するために 非侵襲的な組織分析が可能です
  • 機械学習はパターンの発見を自動化しますが,高次元のラマンデータには課題があります.
  • 医療診断にAIを統合するには,モデル説明が不可欠であり,効果的な特徴の削減が必要である.

研究 の 目的:

  • ラマンスペクトロスコーピーの新しい,説明可能なディープラーニングベースの特徴選択方法を導入する.
  • これらの新しい方法を,複数のデータセットと分類器で確立された技術と比較する.
  • Ramanデータにおける情報損失を最小限に抑えながら機能の削減という課題に取り組むこと.

主な方法:

  • 説明可能なディープラーニングを用いた2つの特徴選択方法を開発しました.グラッドカメラを使ったコンボリューションニューラルネットワーク (CNN) と注意点を持つトランスフォーマーです.
  • CNNのグラッドカメラと トランスフォーマーの注意点を使って 特徴を抽出しました
  • 4つの分類器と3つの現実世界ラマン光譜データセットを使用して確立された方法に対して特徴の性能を評価した.

主要な成果:

  • 説明可能なディープラーニングの方法は 特徴の10%しか使わずに 従来のアプローチと同等の精度を達成しました
  • グラッドカメラとランダムフォレストのCNNは 5-20%の機能保持率で最高のパフォーマンスを示しました.
  • L1ペナライゼーションによるLinearSVCは,特徴の1%のみで高い精度を示し,CNN-GradCamのアプローチは,最も高い平均精度を示した.

結論:

  • すべてのラーマンスペクトロスコピーの適用には,単一の特徴選択方法が普遍的に最適ではありません.
  • 提案されたCNN-GradCamアプローチは,正確で説明可能な特徴の選択に強い可能性を示しています.
  • 最適な性能を確保するために,各特定のアプリケーションで複数の機能選択の代替案を評価することが推奨されます.