Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

In Vitro Fertilization01:24

In Vitro Fertilization

845
In vitro fertilization (IVF) is a form of assisted reproductive technology where an egg is fertilized with sperm in a controlled laboratory environment before transferring the resulting embryo into the uterus. This process is designed to help individuals and couples experiencing difficulties conceiving.
The IVF process begins with ovarian stimulation, during which reproductive endocrinologists prescribe hormonal medications to stimulate the ovaries to produce multiple eggs instead of the single...
845
Ultrasonography01:17

Ultrasonography

7.3K
Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
7.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Datasets on the mechanical behavior of rotary-cut veneer under tensile, compressive, and shear loading.

Scientific data·2026
Same author

<i>scellop:</i> a scalable redesign of cell population plots for single-cell data.

Bioinformatics advances·2026
Same author

Clocks and Dominoes: Timing Mechanisms of Embryogenesis.

bioRxiv : the preprint server for biology·2026
Same author

Task-Specific Directions: Definition, Exploration, and Utilization in Parameter Efficient Fine-Tuning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

SmartEM: machine learning-guided electron microscopy.

Nature methods·2025
Same author

SynAnno: Interactive Guided Proofreading of Synaptic Annotations.

IEEE transactions on visualization and computer graphics·2025

相关实验视频

Updated: Jan 9, 2026

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development
06:49

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development

Published on: October 29, 2019

7.1K

胚胎分析仪:一种用于试管婴儿的视觉临床决策支持系统.

Johannes Knittel, Simon Warchol, Robert Kruger

    IEEE transactions on visualization and computer graphics
    |December 5, 2025
    PubMed
    概括
    此摘要是机器生成的。

    胚胎分析器通过提供胚胎评估的视觉分析来增强体外受精 (IVF). 该系统有助于临床医生选择可行的胚胎,旨在提高试管婴儿成功率.

    更多相关视频

    Human Blastocyst Biopsy and Vitrification
    10:59

    Human Blastocyst Biopsy and Vitrification

    Published on: July 26, 2019

    23.5K
    Visualization and Quantitative Analysis of Embryonic Angiogenesis in Xenopus tropicalis
    06:05

    Visualization and Quantitative Analysis of Embryonic Angiogenesis in Xenopus tropicalis

    Published on: May 25, 2017

    8.8K

    相关实验视频

    Last Updated: Jan 9, 2026

    A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development
    06:49

    A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development

    Published on: October 29, 2019

    7.1K
    Human Blastocyst Biopsy and Vitrification
    10:59

    Human Blastocyst Biopsy and Vitrification

    Published on: July 26, 2019

    23.5K
    Visualization and Quantitative Analysis of Embryonic Angiogenesis in Xenopus tropicalis
    06:05

    Visualization and Quantitative Analysis of Embryonic Angiogenesis in Xenopus tropicalis

    Published on: May 25, 2017

    8.8K

    科学领域:

    • 生殖医学是一种生殖医学.
    • 医学成像分析分析 医学成像分析
    • 计算生物学是一种计算生物学.

    背景情况:

    • 体外受精 (IVF) 是一种常见的不孕症治疗方法,但成功率仍然很低,每周期约为20%.
    • 胚胎选择至关重要,但具有挑战性,目前的自动化方法缺乏透明度,需要大量的手动输入.
    • 时隔显微镜为计算分析提供数据,但自动化工具的临床验证是困难的.

    研究的目的:

    • 开发EmbryoProfiler,这是一个可视化分析系统,用于通过时间缩短显微镜成像来评估胚胎生存能力.
    • 支持临床医生做出更明智的胚胎选择决定,以改善试管婴儿的结果.
    • 整合可解释的人工智能,以实现透明和临床相关的胚胎评分.

    主要方法:

    • 与胚胎学家,生物学家和机器学习专家合作开发视觉分析系统.
    • 实施深度学习管道,用于自动化图像注释和提取临床可解释的特征.
    • 设计一个半自动的,基于可视化的工作流程,使用交互工具,如细胞形状图表用于胚胎评估.

    主要成果:

    • 该系统为受精评估,发育时间和形态检查提供了一种工作流.
    • 交互式可视化可促进胚胎特征的有效分析.
    • 一个可解释的机器学习分类器提供了透明的胚胎生存能力评分,以预测活产生的结果.

    结论:

    • 胚胎分析器使临床医生能够做出更明智的胚胎选择决定.
    • 该系统的可视和可解释的AI方法解决了现有的自动化方法的局限性.
    • 这种工具有可能改善试管婴儿治疗的临床结果.