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

Atomic Force Microscopy

Atomic Force Microscopy

Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...

Uncertainty in Measurement: Accuracy and Precision

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.

Uncertainty in Measurement: Reading Instruments

Uncertainty in Measurement: Reading Instruments

Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...

You might also read

Related Articles

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

Sort by

Same author

High-rate single-crystalline Li-rich layered oxide with diversified surface-phase cation ordering for Li-ion batteries.

Nature communications·2026

Same author

Biomimetic Catalytic System Mimicking Immune Defense and Tissue Healing for Dynamic Treatment of Skin Infections.

Nano letters·2026

Same author

Composites of Co-based bimetallic LDH and ZIF-9 as efficient bifunctional electrocatalysts for water splitting.

Chemical communications (Cambridge, England)·2026

Same author

A Simplified Wheat Protoplast Transformation System and Guideline for Avoiding Protein Localization Artifacts.

Plants (Basel, Switzerland)·2026

Same author

Analysis of infection characteristics and clinical predictive indicators of different bacterial diabetic foot in Yunnan area.

Frontiers in endocrinology·2026

Same author

An end-to-end dual backbone framework for UAV fish disease detection using optimized GateHCO feature fusion mechanism.

Neural networks : the official journal of the International Neural Network Society·2026

Search research articles

Related Experiment Video

Updated: Jul 16, 2026

Quantitative Hardness Measurement by Instrumented AFM-indentation

Quantitative Hardness Measurement by Instrumented AFM-indentation

Published on: November 22, 2016

Understanding Uncertainty and Error in Slip Length Measured by Atomic Force Microscopy (AFM).

Zehui Liu^1,2, Aatto Laaksonen^1,3,4,5, Liwen Mu¹

¹State Key Laboratory of Materials-Oriented and Chemical Engineering, Nanjing Tech University, Nanjing 211816, China.

Langmuir : the ACS Journal of Surfaces and Colloids

|July 15, 2026

Summary

Analyzing atomic force microscopy (AFM) data reveals significant errors in slip length measurements. Factors like curvature, roughness, and velocity amplify errors, necessitating new methods for accurate fluid mechanics research.

More Related Videos

Atomic Force Microscopy Cantilever-Based Nanoindentation: Mechanical Property Measurements at the Nanoscale in Air and Fluid

Atomic Force Microscopy Cantilever-Based Nanoindentation: Mechanical Property Measurements at the Nanoscale in Air and Fluid

Published on: December 2, 2022

Addressing Practical Issues in Atomic Force Microscopy-Based Micro-Indentation on Human Articular Cartilage Explants

Addressing Practical Issues in Atomic Force Microscopy-Based Micro-Indentation on Human Articular Cartilage Explants

Published on: October 28, 2022

Related Experiment Videos

Last Updated: Jul 16, 2026

Quantitative Hardness Measurement by Instrumented AFM-indentation

Quantitative Hardness Measurement by Instrumented AFM-indentation

Published on: November 22, 2016

Atomic Force Microscopy Cantilever-Based Nanoindentation: Mechanical Property Measurements at the Nanoscale in Air and Fluid

Atomic Force Microscopy Cantilever-Based Nanoindentation: Mechanical Property Measurements at the Nanoscale in Air and Fluid

Published on: December 2, 2022

Addressing Practical Issues in Atomic Force Microscopy-Based Micro-Indentation on Human Articular Cartilage Explants

Addressing Practical Issues in Atomic Force Microscopy-Based Micro-Indentation on Human Articular Cartilage Explants

Published on: October 28, 2022

Area of Science:

Fluid mechanics
Surface science
Nanotechnology

Background:

Slip is a crucial boundary condition for fluid behavior at solid-liquid interfaces.
Atomic force microscopy (AFM), particularly colloidal probe AFM (CP-AFM), is used for slip length measurement but suffers from nanometer-scale errors.

Purpose of the Study:

Investigate sources of error in AFM-based slip length determination.
Analyze the impact of factors like curvature, roughness, and velocity on slip length measurements.
Evaluate error propagation in data processing models.

Main Methods:

Collected and analyzed existing AFM slip length data from literature.
Performed quantitative error propagation analysis using Vinogradova models.
Investigated the effect of data interval selection on slip length determination.

Main Results:

Curvature, surface roughness, velocity, and data interval choice significantly impact slip length accuracy.
Both original and simplified Vinogradova models amplify errors during slip-fitting due to error propagation.
Error amplification in slip-fitting is a primary source of uncertainty in slip length determination.

Conclusions:

Identified key factors causing discrepancies in slip length measurements using AFM.
Highlighted error amplification as a major challenge in current slip length determination methods.
Proposed alternative methods, including a resistance-based approach and the Stribeck interval screening framework, to improve accuracy.