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相关概念视频

Chirality in Nature02:30

Chirality in Nature

13.2K
Chirality is the most intriguing yet essential facet of nature, governing life’s biochemical processes and precision. It can be observed from a snail shell pattern in a macroscopic world to an amino acid, the minutest building block of life. Most of the snails around the world have right-coiled shells because of the intrinsic chirality in their genes. All the amino acids present in the human body exist in an enantiomerically pure state, except for glycine - the sole achiral amino acid.
13.2K
Chirality02:25

Chirality

23.6K
Chirality is a term that describes the lack of mirror symmetry in an object. In other words, chiral objects cannot be superposed on their mirror images. For example, our feet are chiral, as the mirror image of the left foot, the right foot, cannot be superposed on the left foot.
Chiral objects exhibit a sense of handedness when they interact with another chiral object. For example, our left foot can only fit in the left shoe and not in the right shoe. Achiral objects — objects that have...
23.6K
Molecules with Multiple Chiral Centers02:25

Molecules with Multiple Chiral Centers

11.3K
Molecules that possess multiple chiral centers can afford a large number of stereoisomers. For instance, while some molecules like 2-butanol have one chiral center, defined as a tetrahedral carbon atom with four different substituents attached, several molecules like butane-2,3-diol have multiple chiral centers. A simple formula to predict the number of stereoisomers possible for a molecule with n chiral centers is 2n. However, there can be a lower number where some of the stereoisomers are...
11.3K
Chirality at Nitrogen, Phosphorus, and Sulfur02:30

Chirality at Nitrogen, Phosphorus, and Sulfur

5.7K
Chirality is most prevalent in carbon-based tetrahedral compounds, but this important facet of molecular symmetry extends to sp3-hybridized nitrogen, phosphorus and sulfur centers, including trivalent molecules with lone pairs. Here, the lone pair behaves as a functional group in addition to the other three substituents to form an analogous tetrahedral center that can be chiral.
A consequence of chirality is the need for enantiomeric resolution. While this is theoretically possible for all...
5.7K

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相关实验视频

Updated: Jun 13, 2025

A Micropatterning Assay for Measuring Cell Chirality
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使用人工智能扫描道显微镜数据中的奇拉性检测.

Tim J Seifert1, Mandy Stritzke2, Peer Kasten1

  • 1Institute of Applied Physics, TU Braunschweig, 38106, Braunschweig, Germany.

Small methods
|September 9, 2024
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 现在可以从扫描探针显微镜 (SPM) 图像中分析奇拉分子网络. 在合成数据上训练人工智能模型显著提高了分析这些复杂化学结构的准确性和稳定性.

关键词:
嵌合体网络 嵌合体网络机器学习是机器学习.分子自组装的分子自组装.对象检测对象检测是指对象的检测.扫描探针显微镜 扫描探针显微镜综合训练数据 综合训练数据

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相关实验视频

Last Updated: Jun 13, 2025

A Micropatterning Assay for Measuring Cell Chirality
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A Micropatterning Assay for Measuring Cell Chirality

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Coulomb Explosion Imaging as a Tool to Distinguish Between Stereoisomers
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科学领域:

  • 表面化学 表面化学
  • 超分子化学 超分子化学
  • 材料科学是一种材料科学.

背景情况:

  • 状分子网络在表面上自组装,对于先进的应用至关重要.
  • 扫描探针显微镜 (SPM) 能够对这些网络进行成像,但其对比度低,噪声高.
  • 传统的图像分析受到长时间的获取时间和人工劳动的阻碍,导致错误.

研究的目的:

  • 开发一种人工智能驱动的方法,用于精确分析由SPM成像的性分子网络.
  • 为了克服低对比度,高噪声和手动分析SPM数据的局限性.
  • 减少对广泛的真实世界数据集的依赖,以训练人工智能模型.

主要方法:

  • 产生性分子网络的现实合成SPM图像.
  • 在合成数据上训练最先进的物体检测架构 (例如,更快的R-CNN).
  • 在真实SPM数据上评估模型性能,评估对噪声和变焦变化的稳定性.

主要成果:

  • 仅在合成数据上训练的Faster R-CNN模型在真实数据上实现了99%的平均精度.
  • 合成数据训练的表现优于增强数据集,用于奇拉单元细胞检测.
  • 人工智能方法在对抗实验噪音和变化的变焦水平方面表现出高强度.

结论:

  • 在合成SPM图像上训练的AI模型为分析性分子网络提供了强大而准确的方法.
  • 这种方法显著减少了手动分析和大型真实数据集的需求.
  • 该方法显示了对不同性网络结构的通用性.