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

Search research articles

Related Experiment Video

Updated: Jun 10, 2026

Preparation of Nanoparticles for ToF-SIMS and XPS Analysis

Preparation of Nanoparticles for ToF-SIMS and XPS Analysis

Published on: September 13, 2020

Quality analysis of selective microparticle deposition on electrically programmable surfaces.

J Wagner¹, F Löffler, K König

¹Kirchhoff Institute for Physics, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany. wagner@kip.uni-heidelberg.de

The Review of Scientific Instruments

|August 7, 2010

Summary

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

The influence of the SARS-CoV-2 lockdown on patients with inflammatory rheumatic diseases on their adherence to immunomodulatory medication: a cross sectional study over 3 months in Germany.

Rheumatology (Oxford, England)·2021

Same author

Progressive secondary exo-focal dopaminergic neurodegeneration occurs in not directly connected midbrain nuclei after pure motor-cortical stroke.

Experimental neurology·2020

Same author

Peptide array functionalization via the Ugi four-component reaction.

Chemical communications (Cambridge, England)·2017

Same author

[Osteoporosis detection using cone-beam computed tomography].

Der Orthopade·2016

Same author

Corrigendum: A large light-mass component of cosmic rays at 10<sup>17</sup>-10<sup>17.5</sup> electronvolts from radio observations.

Nature·2016

Same author

A large light-mass component of cosmic rays at 10(17)-10(17.5) electronvolts from radio observations.

Nature·2016

This study introduces an image processing method to ensure high-quality peptide arrays. It detects and quantifies incorrectly deposited microparticles before peptide synthesis, improving Merrifield combinatorial peptide synthesis quality.

Area of Science:

Materials Science
Analytical Chemistry
Biotechnology

Background:

Peptide array quality is crucial for combinatorial synthesis.
Ensuring precise microparticle deposition is essential for Merrifield synthesis.
Current methods may not detect deposition errors early.

Purpose of the Study:

To develop an image processing method for evaluating microparticle deposition quality.
To control the quality of peptide arrays in particle-based Merrifield synthesis.
To detect and quantify incorrectly deposited particles before peptide coupling.

Main Methods:

Utilized image processing and pattern analysis for deposition quality evaluation.
Employed a supervised training step for image acquisition calibration.

More Related Videos

Tools for Surface Treatment of Silicon Planar Intracortical Microelectrodes

Tools for Surface Treatment of Silicon Planar Intracortical Microelectrodes

Published on: June 8, 2022

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Related Experiment Videos

Last Updated: Jun 10, 2026

Preparation of Nanoparticles for ToF-SIMS and XPS Analysis

Preparation of Nanoparticles for ToF-SIMS and XPS Analysis

Published on: September 13, 2020

Tools for Surface Treatment of Silicon Planar Intracortical Microelectrodes

Tools for Surface Treatment of Silicon Planar Intracortical Microelectrodes

Published on: June 8, 2022

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Applied a linear support vector machine to determine the correct deposition pattern.

Calculated the number and size of contaminating particles based on pixel analysis.

Main Results:

The method effectively detects incorrectly deposited microparticles.
Quality control is achieved before amino acid coupling.
Contaminated areas are identified by comparing actual deposition to the learned pattern.
Quantification of particle number and size is possible.

Conclusions:

The presented image processing technique enhances peptide array quality control.
Early detection of deposition errors improves Merrifield combinatorial peptide synthesis.
This method offers a robust solution for analyzing microparticle deposition quality.