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相关概念视频

Bacterial Growth Curve01:28

Bacterial Growth Curve

The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...

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相关实验视频

Updated: Jun 27, 2026

Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes
22:49

Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes

Published on: December 13, 2012

定制的产前生长图表

J Gardosi1, A Chang, B Kalyan

  • 1Department of Obstetrics and Gynaecology, Queen's Medical Centre, Nottingham, UK.

Lancet (London, England)
|February 1, 1992
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个定制的产前图表,用于精确的胎儿生长评估. 通过调整母体因素,它提高了确定妊娠年龄婴儿小或大婴儿的准确性,减少了错误分类.

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Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS
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Published on: July 18, 2013

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth
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ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

Published on: July 3, 2017

相关实验视频

Last Updated: Jun 27, 2026

Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes
22:49

Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes

Published on: December 13, 2012

Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS
17:01

Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS

Published on: July 18, 2013

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth
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ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

Published on: July 3, 2017

科学领域:

  • 孕产妇和胎儿的医学
  • 定量化产科 产科 产科 产科 产科
  • 临床生物识别技术

背景情况:

  • 标准的胎儿生长图表缺乏个性化.
  • 生理学变量显著影响出生体重.
  • 准确的胎儿生长评估对于最佳的怀孕管理至关重要.

研究的目的:

  • 开发一个计算机生成的产前图表,以进行个性化的胎儿生长评估.
  • 将母亲的生理变量纳入胎儿生长估计.
  • 为了提高从正常胎儿生长模式中识别偏差的精度.

主要方法:

  • 设计了一个可定制的计算机生成的产前图表.
  • 纳入母亲的特征 (体重,身高,种族,平等) 和以前的出生体重.
  • 使用纵向超声波数据来检测子宫内体重增加.
  • 对于出生体重的重要决定因素的计算校正因子.

主要成果:

  • 孕产妇的体重,身高,种族和性别均等是出生体重的重要决定因素.
  • 调整后的百分位数将28%的小婴儿和22%的大婴儿重新归类为正常的妊娠年龄婴儿.
  • 传统图表错过了24%的小婴儿和26%的大婴儿,这些婴儿被调整的百分位数识别出来.

结论:

  • 使用调整的百分位数进行个性化胎儿生长评估更准确.
  • 这种方法减少了胎儿生长异常的错误分类.
  • 提高准确度可以减少不必要的调查,干预和家长的焦虑.