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晶体搜索 - - 对结晶井图像实时深度学习过程的可行性研究

Yvonne Thielmann1, Thorsten Luft2, Norbert Zint1

  • 1Molecular Membrane Biology, Max Planck Institute of Biophysics, Max-von-Laue-Strasse 3, Frankfurt am Main, 60438, Germany.

Acta crystallographica. Section A, Foundations and advances
|June 2, 2023
PubMed
概括

一个新的Python程序使用深度学习自动检测结晶板中的晶体,匹配人类的准确性. 该工具旨在简化生物样本的晶体分析.

关键词:
亚历克斯的网络亚历克斯的网络波恩斯 (BOINC) 公司这就是ResNet ResNet.这就是SqueezeNet.这就是U-Net.在VggNet上使用VggNet.生物结晶化生物结晶化深度学习是一种深度学习.高通量选的高通量选神经网络的神经网络的神经网络

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In the late 1800s, the revelation that light extended beyond visible wavelengths led to the discovery of X-rays by Wilhelm Roentgen. Recognized as high-energy electromagnetic radiation with short wavelengths, X-rays prompted exploration into their interaction with crystals. Max von Laue proposed in 1912 that the periodic arrangement of atoms, ions, or molecules in crystals would cause them to diffract X-rays, a hypothesis confirmed through experiments with copper sulfate and zinc sulfide...