Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Adhesion

Adhesion

Adhesion occurs when one type of molecule is attracted to a different molecule. Water exhibits adhesive properties in the presence of polar surfaces, such as glass or cellulose in plants. For instance, when water is poured into a glass, the positively charged hydrogen molecules of water are more attracted to the negatively charged oxygen molecules in the silica than to the oxygen in neighboring water molecules.
Capillary action is a result of water’s adhesive tendencies. When a narrow...

Time-Series Graph

Time-Series Graph

A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...

Drug Concentration Versus Time Correlation

Drug Concentration Versus Time Correlation

The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A bibliometric analysis of infectious diseases in patients with liver transplantation in the last decade.

Annals of translational medicine·2022

Same author

Synthesis of methanediol [CH<sub>2</sub>(OH)<sub>2</sub>]: The simplest geminal diol.

Proceedings of the National Academy of Sciences of the United States of America·2021

Same author

A combined strategy of TK1, HE4 and CA125 shows better diagnostic performance than risk of ovarian malignancy algorithm (ROMA) in ovarian carcinoma.

Clinica chimica acta; international journal of clinical chemistry·2021

Same author

4-Iminooxazolidin-2-One as a Bioisostere of Cyanohydrin Suppresses EV71 Proliferation by Targeting 3C<sup>pro</sup>.

Microbiology spectrum·2021

Same author

Biosynthesis and Roles of Salicylic Acid in Balancing Stress Response and Growth in Plants.

International journal of molecular sciences·2021

Same author

Erratum to: Two ubiquitin-associated ER proteins interact with COPT copper transporters and modulate their accumulation.

Plant physiology·2021

Same journal

Instrumental Variable Estimation of Marginal Structural Mean Models for Time-Varying Treatment.

Journal of the American Statistical Association·2026

Same journal

Semiparametric Joint Modeling for Survival Analysis with Longitudinal Covariates.

Journal of the American Statistical Association·2026

Same journal

Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference.

Journal of the American Statistical Association·2026

Same journal

Facilitating Heterogeneous Effect Estimation via Statistically Efficient Categorical Modifiers.

Journal of the American Statistical Association·2026

Same journal

Nonparametric Density Estimation of a Long-Term Trend from Repeated Semicontinuous Data.

Journal of the American Statistical Association·2026

Same journal

Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Clinicogenomic Data.

Journal of the American Statistical Association·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 19, 2026

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Binary Time Series Modeling with Application to Adhesion Frequency Experiments.

Ying Hung¹, Veronika Zarnitsyna, Yan Zhang

¹H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA.

Journal of the American Statistical Association

|December 20, 2011

Summary

This summary is machine-generated.

A new statistical model addresses limitations in cell adhesion analysis. It accounts for dependencies in repeated tests, improving accuracy for physiological and pathological studies.

More Related Videos

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

Adhesion Frequency Assay for In Situ Kinetics Analysis of Cross-Junctional Molecular Interactions at the Cell-Cell Interface

Adhesion Frequency Assay for In Situ Kinetics Analysis of Cross-Junctional Molecular Interactions at the Cell-Cell Interface

Published on: November 2, 2011

Related Experiment Videos

Last Updated: Jan 19, 2026

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

Adhesion Frequency Assay for In Situ Kinetics Analysis of Cross-Junctional Molecular Interactions at the Cell-Cell Interface

Adhesion Frequency Assay for In Situ Kinetics Analysis of Cross-Junctional Molecular Interactions at the Cell-Cell Interface

Published on: November 2, 2011

Area of Science:

Biophysics
Statistical Modeling
Cell Biology

Background:

Cell adhesion is crucial in biological processes.
Current methods for measuring cell adhesion kinetics have limitations.
Traditional analysis assumes independent trials, which is often inaccurate.

Purpose of the Study:

To develop a novel statistical model for analyzing repeated cell adhesion frequency assays.
To address the violation of independence assumptions in traditional analyses.
To introduce a goodness-of-fit statistic for evaluating model assumptions.

Main Methods:

Development of a binary time series model with random effects.
Introduction and derivation of a goodness-of-fit statistic.
Simulation studies to evaluate finite-sample performance.
Application to real T-cell adhesion data.

Main Results:

The proposed model effectively incorporates random effects for dependent binary data.
The goodness-of-fit statistic assesses distribution assumptions in models with random effects.
Analysis of T-cell data revealed dependencies between repeated adhesion tests, contradicting traditional assumptions.

Conclusions:

The developed statistical methodology provides a more accurate approach to analyzing cell adhesion frequency data.
The findings highlight the importance of considering dependencies in repeated adhesion measurements.
This work offers improved tools for understanding cell adhesion in biological and disease contexts.