Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE)
The authors demonstrate a real-time, non-invasive, far-field optical probe to monitor particle size distribution in pharmaceutical manufacturing. It characterizes the speckle scattered from the surface using machine learning weaved into optical physics.
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2023-03-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-023-36816-2 |
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author | Qihang Zhang Janaka C. Gamekkanda Ajinkya Pandit Wenlong Tang Charles Papageorgiou Chris Mitchell Yihui Yang Michael Schwaerzler Tolutola Oyetunde Richard D. Braatz Allan S. Myerson George Barbastathis |
author_facet | Qihang Zhang Janaka C. Gamekkanda Ajinkya Pandit Wenlong Tang Charles Papageorgiou Chris Mitchell Yihui Yang Michael Schwaerzler Tolutola Oyetunde Richard D. Braatz Allan S. Myerson George Barbastathis |
author_sort | Qihang Zhang |
collection | DOAJ |
description | The authors demonstrate a real-time, non-invasive, far-field optical probe to monitor particle size distribution in pharmaceutical manufacturing. It characterizes the speckle scattered from the surface using machine learning weaved into optical physics. |
first_indexed | 2024-04-09T22:48:06Z |
format | Article |
id | doaj.art-5cf5e94472cb428e9d86b9dfe6d0bc1d |
institution | Directory Open Access Journal |
issn | 2041-1723 |
language | English |
last_indexed | 2024-04-09T22:48:06Z |
publishDate | 2023-03-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj.art-5cf5e94472cb428e9d86b9dfe6d0bc1d2023-03-22T11:44:32ZengNature PortfolioNature Communications2041-17232023-03-011411910.1038/s41467-023-36816-2Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE)Qihang Zhang0Janaka C. Gamekkanda1Ajinkya Pandit2Wenlong Tang3Charles Papageorgiou4Chris Mitchell5Yihui Yang6Michael Schwaerzler7Tolutola Oyetunde8Richard D. Braatz9Allan S. Myerson10George Barbastathis11Department of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyDepartment of Chemical Engineering, Massachusetts Institute of TechnologyDepartment of Chemical Engineering, Massachusetts Institute of TechnologyData Sciences Institutes, Takeda Pharmaceuticals International CoProcess Chemistry Development, Takeda Pharmaceuticals International CoProcess Chemistry Development, Takeda Pharmaceuticals International CoProcess Chemistry Development, Takeda Pharmaceuticals International CoInnovation and Technology Sciences, Takeda Pharmaceutical Company LimitedInnovation and Technology Sciences, Takeda Pharmaceutical Company LimitedDepartment of Chemical Engineering, Massachusetts Institute of TechnologyDepartment of Chemical Engineering, Massachusetts Institute of TechnologyDepartment of Mechanical Engineering, Massachusetts Institute of TechnologyThe authors demonstrate a real-time, non-invasive, far-field optical probe to monitor particle size distribution in pharmaceutical manufacturing. It characterizes the speckle scattered from the surface using machine learning weaved into optical physics.https://doi.org/10.1038/s41467-023-36816-2 |
spellingShingle | Qihang Zhang Janaka C. Gamekkanda Ajinkya Pandit Wenlong Tang Charles Papageorgiou Chris Mitchell Yihui Yang Michael Schwaerzler Tolutola Oyetunde Richard D. Braatz Allan S. Myerson George Barbastathis Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE) Nature Communications |
title | Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE) |
title_full | Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE) |
title_fullStr | Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE) |
title_full_unstemmed | Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE) |
title_short | Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE) |
title_sort | extracting particle size distribution from laser speckle with a physics enhanced autocorrelation based estimator peace |
url | https://doi.org/10.1038/s41467-023-36816-2 |
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