Automated quantitative image analysis of nanoparticle assembly-Reference-Cited by-同舟云学术

Automated quantitative image analysis of nanoparticle assembly

Published:2015 Issue:21 Volume:7 Page:9793-9805
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Murthy Chaitanya R.¹²³⁴,Gao Bo¹²³⁴,Tao Andrea R.¹²³⁴,Arya Gaurav¹²³⁴

Affiliation:

1. Department of NanoEngineering

2. University of California

3. San Diego

4. La Jolla, USA

Abstract

Automated quantitative image analysis tool for characterizing structural properties of nanoparticle clusters during assembly from experimental images.

Funder

American Chemical Society Petroleum Research Fund

Division of Civil, Mechanical and Manufacturing Innovation

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2015/NR/C5NR00809C

Reference43 articles.

1. Controlled Synthesis and Modification of Carbon Nanotubes and C60: Carbon Nanostructures for Advanced Polymeric Composite Materials

2. Hybrid Solar Cells with Prescribed Nanoscale Morphologies Based on Hyperbranched Semiconductor Nanocrystals

3. Self-orienting nanocubes for the assembly of plasmonic nanojunctions

4. Plasmonic nanocomposites: polymer-guided strategies for assembling metal nanoparticles

5. Long-range correlations in smoke-particle aggregates

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