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.

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2023-03-01
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.
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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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