相关实验视频

Updated: May 9, 2026

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

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在光子数据中去除文物的反向建模:一种基于计算物理和转移学习的计算物理和转移学习方法

Ravi Teja Vulchi1, Volodymyr Morgunov1, Julian Hniopek2

  • 1Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, Jena 07743, Germany.

Journal of chemical information and modeling
|October 28, 2025
PubMed
概括

这项研究引入了一个深度学习框架,以纠正光谱数据中的标准化文物. 该方法通过减少多达70%的扭曲,显著提高了光谱准确性和可解释性.

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Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure10:22

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

Published on: February 12, 2018

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Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging07:15

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

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相关概念视频

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...