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Publication_Date:2023
Online_Linkage: https://www.datacommons.psu.edu/
Description:
Abstract: 
Data used to generate the images and data visualizations, as reported in https://doi.org/10.1021/acsnanoscienceau.4c00076 A common desire in nanoscience is to describe the size and morphology of nanoparticles as observed from TEM images. Many times, this analysis is done manually, a lengthy process that is prone to errors and ambiguity in the measurements. While several research groups have reported excellent advances in machine-learned approaches to automated TEM image processing, the tools that they have developed often require specialized software or significant knowledge of coding. This state of affairs means that a majority of researchers in the field of nanoscience are not well-equipped to incorporate these advances into their normal workflows. In this tutorial, we describe how to use Weka segmentation within the free and open source program FIJI to automatically identify and characterize nanoparticles from TEM images. The approach we outline is not meant to discount the excellent results of groups working at the forefront of machine learning image analysis; rather, it is meant to bring similar tools to a broader audience by demonstrating how such processing can be done within the GUI-based interface of FIJI-a program already commonly used within nanoscience research. We also discuss the advantages that arise from automatic processing of TEM images, including repeatability, time savings, the ability to process low-contrast images, and the additional types of characterization that can be performed following identification of particles. The overall goal is to provide an accessible tool that enables a more robust and repeatable analysis and descriptions of nanoparticles.
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Calendar_Date:2023
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Theme_Keyword:geoscientificinformation
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The University excludes any and all implied warranties, including warranties or merchantability and fitness for a particular purpose.
The University makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance.
The University will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation.
The USER is granted permission to translate and add value to the FILES for the use of the FILES on its computer hardware; provided, however, that the USER annually notify the University of any customizing or value-adding work done.
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Contact_Organization:Penn State Data Commons
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Address_Type:mailing and physical address
Address: 
115 Land and Water Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Voice_Telephone:(814) 865 - 8792
Contact_Electronic_Mail_Address:datacommons@psu.edu
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The USER shall indemnify, save harmless, and, if requested, defend those parties involved with the development and distribution of this data, their officers, agents, and employees from and against any suits, claims, or actions for injury, death, or property damage arising out of the use of or any defect in the FILES or any accompanying documentation. Those parties involved with the development and distribution excluded any and all implied warranties, including warranties or merchantability and fitness for a particular purpose and makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance. Those parties involved with the development and distribution of this data will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation.
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Contact_Organization:Penn State Data Commons
Contact_Position:Metadata Coordinator
Contact_Address:
Address_Type:mailing address
Address: 
115 Land and Water Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Voice_Telephone:814-865-8792
Contact_Electronic_Mail_Address:datacommons@psu.edu
Metadata_Standard_Name:FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version:FGDC-STD-001-1998
Metadata_Time_Convention:local time
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Online_Linkage: http://www.esri.com/metadata/esriprof80.html
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