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

Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...
Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Methods to Assess Microbial Populations01:30

Methods to Assess Microbial Populations

Assessing microbial populations is crucial for understanding microbial roles in health, ecology, and industry. Various complementary techniques—both culture-based and molecular—enable detailed analysis of microbial abundance, diversity, and function.Viable Plate CountThe viable plate count is a traditional culture-based method used to estimate the number of living microbes in a sample. After serial dilution, the sample is spread onto nutrient agar plates. Each viable cell forms a visible...
Methods to Assess Microbial Communities01:19

Methods to Assess Microbial Communities

Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...

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

Top-down identification of keystone taxa in the microbiome.

Nature communications·2023
Same author

Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus.

PLoS computational biology·2023
Same author

Complexity-stability trade-off in empirical microbial ecosystems.

Nature ecology & evolution·2022
Same author

Age-related loss of gene-to-gene transcriptional coordination among single cells.

Nature metabolism·2020
Same journal

Epidemiological characteristics of amebiasis in Japan from 2001 to 2022.

PloS one·2026
Same journal

Longitudinal associations of academic stress with eating related patterns, nutrition, somatic indicators, and depressive symptoms in university students: A study protocol.

PloS one·2026
Same journal

Pollution removal efficiency enhancement by agricultural biomass additions in constructed wetlands: A framework integrating meta-analysis with explainable machine learning.

PloS one·2026
Same journal

Insulation failure mapping on power transformer bushing using FRA and electrostatic simulation.

PloS one·2026
Same journal

Enhancing medical Q&A systems with multimodal knowledge graphs and dual-layer attention mechanisms.

PloS one·2026
Same journal

UAMP: Consistent video object segmentation with uncertainty-aware memory propagation.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jun 16, 2026

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres
11:09

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres

Published on: October 23, 2011

16.3K

一个单一时间点微生物样本对网络的影响

Shir Ezra1, Amir Bashan1

  • 1Physics Department, Bar-Ilan University, Ramat Gan, Israel.

PloS one
|May 30, 2024
PubMed
概括
此摘要是机器生成的。

网络影响方法分析单个微生物群样本,通过检查物种相互作用来检测健康异常. 这种方法有助于异常检测和分类,改善个性化诊断.

更多相关视频

ScanLag: High-throughput Quantification of Colony Growth and Lag Time
07:47

ScanLag: High-throughput Quantification of Colony Growth and Lag Time

Published on: July 15, 2014

16.2K
Evaluating the Impact of Hydraulic Fracturing on Streams using Microbial Molecular Signatures
09:11

Evaluating the Impact of Hydraulic Fracturing on Streams using Microbial Molecular Signatures

Published on: April 4, 2021

3.1K

相关实验视频

Last Updated: Jun 16, 2026

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres
11:09

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres

Published on: October 23, 2011

16.3K
ScanLag: High-throughput Quantification of Colony Growth and Lag Time
07:47

ScanLag: High-throughput Quantification of Colony Growth and Lag Time

Published on: July 15, 2014

16.2K
Evaluating the Impact of Hydraulic Fracturing on Streams using Microbial Molecular Signatures
09:11

Evaluating the Impact of Hydraulic Fracturing on Streams using Microbial Molecular Signatures

Published on: April 4, 2021

3.1K

科学领域:

  • 微生物组研究的研究.
  • 计算生物学是一种计算生物学.
  • 生态网络分析 生态网络分析

背景情况:

  • 人类微生物组显著影响健康和疾病.
  • 微生物组分析传统上需要广泛采样.
  • 个性化微生物组数据可以揭示宿主特定的健康信息.

研究的目的:

  • 引入和评估用于单样微生物组分析的网络影响方法的变化.
  • 评估网络影响在异常检测和分类任务中的有用性.
  • 探索个性化微生物组分析在临床应用中的潜力.

主要方法:

  • 模拟的微生物组样本使用一般化的Lotka-Volterra模型生成.
  • 对不同网络影响变化的系统性绩效评估.
  • 网络影响的应用用于异常检测和二进制/多类分类.

主要成果:

  • 网络影响有效地捕捉了单个样本中的物种间相互作用.
  • 网络影响成功地识别了具有正常丰度但异常相互作用的"杂乱"样本.
  • 该方法在根据相互作用概况对样品进行分类方面表现出有效性.

结论:

  • 网络影响方法为分析单一时间点微生物群样本提供了强大的工具.
  • 这种方法通过专注于生态相互作用,而不仅仅是丰富度,提高了异常检测.
  • 个性化微生物组网络分析有望改善诊断和个性化医学.