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Optical microscopy and confocal data of aerosol jet printed lines over a 16-hour print duration

Optical microscopy images and confocal data for Aerosol Jet Printed (AJP) lines over a 16 hour print duration is provide in this dataset (“Mapping Drift in Morphology and Electrical Performance in Aerosol Jet Printing” [1]). Lines were uninterruptedly printed by AJP on a glass substrate using silver...

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Autores principales: Yoo, David, Mahoney, Clare M., Deneault, James R., Grabowski, Christopher, Austin, Drake, Berrigan, J. Daniel, Glavin, Nicholas, Buskohl, Philip R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010625/
https://www.ncbi.nlm.nih.gov/pubmed/35434219
http://dx.doi.org/10.1016/j.dib.2022.108080
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author Yoo, David
Mahoney, Clare M.
Deneault, James R.
Grabowski, Christopher
Austin, Drake
Berrigan, J. Daniel
Glavin, Nicholas
Buskohl, Philip R.
author_facet Yoo, David
Mahoney, Clare M.
Deneault, James R.
Grabowski, Christopher
Austin, Drake
Berrigan, J. Daniel
Glavin, Nicholas
Buskohl, Philip R.
author_sort Yoo, David
collection PubMed
description Optical microscopy images and confocal data for Aerosol Jet Printed (AJP) lines over a 16 hour print duration is provide in this dataset (“Mapping Drift in Morphology and Electrical Performance in Aerosol Jet Printing” [1]). Lines were uninterruptedly printed by AJP on a glass substrate using silver nanoparticle ink over a 16-hour time frame. The ink used for this experiment was a 0.6:0.3:0.2 mL mixture of Clariant Prelect TPS 50 G2 silver nanoparticle ink, ethylene glycol, and deionized water, respectively. Deposition was achieved with an Optomec AJ 300-UP Aerosol Jet(TM) Deposition System using a Sprint Series Ultrasonic Atomizer MAX, aerodynamic filtering, and a nozzle having an orifice diameter of 150 µm. The typical focus ratio of 1.75 within standard range was used. The optical microscopic images of 350 µm AJP printed lines at 80 different time points were then selectively collected. Keyence VK-X200 with 150x magnification was used, which provided 50 µm to 267 pixel resolution image with more than 1000 cross-sections at each time point. Filtering of the pixels with outlying heights was performed with a multi-file analyzer. The dataset was primarily collected to understand system-level, temporal drifts in print morphology, which would further allow to predict electrical performance in time domain. Additional purposes for the dataset include: 1) benchmark dataset for morphology and print performance between AJP systems and print settings, 2) test data for new image filtering, segmentation, and classification algorithms and 3) baseline training data for real-time, in situ classification of operational time windows for AJP feedback control.
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spelling pubmed-90106252022-04-16 Optical microscopy and confocal data of aerosol jet printed lines over a 16-hour print duration Yoo, David Mahoney, Clare M. Deneault, James R. Grabowski, Christopher Austin, Drake Berrigan, J. Daniel Glavin, Nicholas Buskohl, Philip R. Data Brief Data Article Optical microscopy images and confocal data for Aerosol Jet Printed (AJP) lines over a 16 hour print duration is provide in this dataset (“Mapping Drift in Morphology and Electrical Performance in Aerosol Jet Printing” [1]). Lines were uninterruptedly printed by AJP on a glass substrate using silver nanoparticle ink over a 16-hour time frame. The ink used for this experiment was a 0.6:0.3:0.2 mL mixture of Clariant Prelect TPS 50 G2 silver nanoparticle ink, ethylene glycol, and deionized water, respectively. Deposition was achieved with an Optomec AJ 300-UP Aerosol Jet(TM) Deposition System using a Sprint Series Ultrasonic Atomizer MAX, aerodynamic filtering, and a nozzle having an orifice diameter of 150 µm. The typical focus ratio of 1.75 within standard range was used. The optical microscopic images of 350 µm AJP printed lines at 80 different time points were then selectively collected. Keyence VK-X200 with 150x magnification was used, which provided 50 µm to 267 pixel resolution image with more than 1000 cross-sections at each time point. Filtering of the pixels with outlying heights was performed with a multi-file analyzer. The dataset was primarily collected to understand system-level, temporal drifts in print morphology, which would further allow to predict electrical performance in time domain. Additional purposes for the dataset include: 1) benchmark dataset for morphology and print performance between AJP systems and print settings, 2) test data for new image filtering, segmentation, and classification algorithms and 3) baseline training data for real-time, in situ classification of operational time windows for AJP feedback control. Elsevier 2022-03-24 /pmc/articles/PMC9010625/ /pubmed/35434219 http://dx.doi.org/10.1016/j.dib.2022.108080 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Yoo, David
Mahoney, Clare M.
Deneault, James R.
Grabowski, Christopher
Austin, Drake
Berrigan, J. Daniel
Glavin, Nicholas
Buskohl, Philip R.
Optical microscopy and confocal data of aerosol jet printed lines over a 16-hour print duration
title Optical microscopy and confocal data of aerosol jet printed lines over a 16-hour print duration
title_full Optical microscopy and confocal data of aerosol jet printed lines over a 16-hour print duration
title_fullStr Optical microscopy and confocal data of aerosol jet printed lines over a 16-hour print duration
title_full_unstemmed Optical microscopy and confocal data of aerosol jet printed lines over a 16-hour print duration
title_short Optical microscopy and confocal data of aerosol jet printed lines over a 16-hour print duration
title_sort optical microscopy and confocal data of aerosol jet printed lines over a 16-hour print duration
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010625/
https://www.ncbi.nlm.nih.gov/pubmed/35434219
http://dx.doi.org/10.1016/j.dib.2022.108080
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