Nanoannotator – Novel Image Analysis Method for Nanoparticle Size Analysis

Minnamari Vippola; Masi Valkonen; Essi Sarlin; Mari Honkanen; Heikki Huttunen

Nanoannotator – Novel Image Analysis Method for Nanoparticle Size Analysis

Minnamari Vippola, Masi Valkonen, Essi Sarlin, Mari Honkanen, Heikki Huttunen

Research output: Other conference contribution › Poster › Scientific

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Abstract

Nanoparticles have unique properties which directly correlate to their size, shape and size distribution. Thus the full utilization of their properties requires comprehensive characterization of the aforementioned features. TEM analysis provides a lot of essential information of nanoparticles’ properties such as primary particle size, morphology of particles and agglomerates as well as composition and phase structure. However, the size distribution measurement from TEM images is typically demanding, e.g., due to the tendency of nanoparticles to agglomerate and the poor efficiency of traditional image analyzing methods. In this study we present a novel image analysis technique to measure the nanoparticle size distribution from TEM images and compare it to other traditional methods.

Original language	English
Publication status	Published - Jun 2016
Publication type	Not Eligible
Event	67th Annual Conference of the Nordic Microscopy Society - Norwegian University of Science and Technology, Trondheim, Norway Duration: 7 Jun 2016 → 10 Jun 2016 https://www.ntnu.edu/physics/scandem2016

Conference

Conference	67th Annual Conference of the Nordic Microscopy Society
Country/Territory	Norway
City	Trondheim
Period	7/06/16 → 10/06/16
Internet address	https://www.ntnu.edu/physics/scandem2016

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http://urn.fi/URN:NBN:fi:tty-201612204884

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@conference{97093d86071a428fbdf7c0ba9c8f1a42,

title = "Nanoannotator – Novel Image Analysis Method for Nanoparticle Size Analysis",

abstract = "Nanoparticles have unique properties which directly correlate to their size, shape and size distribution. Thus the full utilization of their properties requires comprehensive characterization of the aforementioned features. TEM analysis provides a lot of essential information of nanoparticles{\textquoteright} properties such as primary particle size, morphology of particles and agglomerates as well as composition and phase structure. However, the size distribution measurement from TEM images is typically demanding, e.g., due to the tendency of nanoparticles to agglomerate and the poor efficiency of traditional image analyzing methods. In this study we present a novel image analysis technique to measure the nanoparticle size distribution from TEM images and compare it to other traditional methods. ",

author = "Minnamari Vippola and Masi Valkonen and Essi Sarlin and Mari Honkanen and Heikki Huttunen",

year = "2016",

month = jun,

language = "English",

note = "67th Annual Conference of the Nordic Microscopy Society ; Conference date: 07-06-2016 Through 10-06-2016",

url = "https://www.ntnu.edu/physics/scandem2016",

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TY - CONF

T1 - Nanoannotator – Novel Image Analysis Method for Nanoparticle Size Analysis

AU - Vippola, Minnamari

AU - Valkonen, Masi

AU - Sarlin, Essi

AU - Honkanen, Mari

AU - Huttunen, Heikki

PY - 2016/6

Y1 - 2016/6

N2 - Nanoparticles have unique properties which directly correlate to their size, shape and size distribution. Thus the full utilization of their properties requires comprehensive characterization of the aforementioned features. TEM analysis provides a lot of essential information of nanoparticles’ properties such as primary particle size, morphology of particles and agglomerates as well as composition and phase structure. However, the size distribution measurement from TEM images is typically demanding, e.g., due to the tendency of nanoparticles to agglomerate and the poor efficiency of traditional image analyzing methods. In this study we present a novel image analysis technique to measure the nanoparticle size distribution from TEM images and compare it to other traditional methods.

AB - Nanoparticles have unique properties which directly correlate to their size, shape and size distribution. Thus the full utilization of their properties requires comprehensive characterization of the aforementioned features. TEM analysis provides a lot of essential information of nanoparticles’ properties such as primary particle size, morphology of particles and agglomerates as well as composition and phase structure. However, the size distribution measurement from TEM images is typically demanding, e.g., due to the tendency of nanoparticles to agglomerate and the poor efficiency of traditional image analyzing methods. In this study we present a novel image analysis technique to measure the nanoparticle size distribution from TEM images and compare it to other traditional methods.

M3 - Poster

T2 - 67th Annual Conference of the Nordic Microscopy Society

Y2 - 7 June 2016 through 10 June 2016

ER -

Nanoannotator – Novel Image Analysis Method for Nanoparticle Size Analysis

Abstract

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