_version_ 1866910293036105728
author Shen, Zhou
Awel, Salah
Barty, Anton
Bean, Richard
Bielecki, Johan
Bergemann, Martin
Daurer, Benedikt J.
Ekeberg, Tomas
Estillore, Armando D.
Fangohr, Hans
Giewekemeyer, Klaus
Hunter, Mark S.
Karnevskiy, Mikhail
Kirian, Richard A.
Kirkwood, Henry
Kim, Yoonhee
Koliyadu, Jayanath
Lange, Holger
Letrun, Romain
Lübke, Jannik
Mall, Abhishek
Michelat, Thomas
Morgan, Andrew J.
Roth, Nils
Samanta, Amit K.
Sato, Tokushi
Sikorski, Marcin
Schulz, Florian
Vagovic, Patrik
Wollweber, Tamme
Worbs, Lena
Xavier, Paul Lourdu
Maia, Filipe R. N. C.
Horke, Daniel A.
Küpper, Jochen
Mancuso, Adrian P.
Chapman, Henry N.
Ayyer, Kartik
Loh, N. Duane
author_facet Shen, Zhou
Awel, Salah
Barty, Anton
Bean, Richard
Bielecki, Johan
Bergemann, Martin
Daurer, Benedikt J.
Ekeberg, Tomas
Estillore, Armando D.
Fangohr, Hans
Giewekemeyer, Klaus
Hunter, Mark S.
Karnevskiy, Mikhail
Kirian, Richard A.
Kirkwood, Henry
Kim, Yoonhee
Koliyadu, Jayanath
Lange, Holger
Letrun, Romain
Lübke, Jannik
Mall, Abhishek
Michelat, Thomas
Morgan, Andrew J.
Roth, Nils
Samanta, Amit K.
Sato, Tokushi
Sikorski, Marcin
Schulz, Florian
Vagovic, Patrik
Wollweber, Tamme
Worbs, Lena
Xavier, Paul Lourdu
Maia, Filipe R. N. C.
Horke, Daniel A.
Küpper, Jochen
Mancuso, Adrian P.
Chapman, Henry N.
Ayyer, Kartik
Loh, N. Duane
contents Nanoparticles, exhibiting functionally relevant structural heterogeneity, are at the forefront of cutting-edge research. Now, high-throughput single-particle imaging (SPI) with x-ray free-electron lasers (XFELs) creates unprecedented opportunities for recovering the shape distributions of millions of particles that exhibit functionally relevant structural heterogeneity. To realize this potential, three challenges have to be overcome: (1) simultaneous parametrization of structural variability in real and reciprocal spaces; (2) efficiently inferring the latent parameters of each SPI measurement; (3) scaling up comparisons between $10^5$ structural models and $10^6$ XFEL-SPI measurements. Here, we describe how we overcame these three challenges to resolve the non-equilibrium shape distributions within millions of gold nanoparticles imaged at the European XFEL. These shape distributions allowed us to quantify the degree of asymmetry in these particles, discover a relatively stable `shape envelope' amongst nanoparticles, discern finite-size effects related to shape-controlling surfactants, and extrapolate nanoparticles' shapes to their idealized thermodynamic limit. Ultimately, these demonstrations show that XFEL SPI can help transform nanoparticle shape characterization from anecdotally interesting to statistically meaningful.
format Preprint
id arxiv_https___arxiv_org_abs_2401_04896
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Resolving non-equilibrium shape variations amongst millions of gold nanoparticles
Shen, Zhou
Awel, Salah
Barty, Anton
Bean, Richard
Bielecki, Johan
Bergemann, Martin
Daurer, Benedikt J.
Ekeberg, Tomas
Estillore, Armando D.
Fangohr, Hans
Giewekemeyer, Klaus
Hunter, Mark S.
Karnevskiy, Mikhail
Kirian, Richard A.
Kirkwood, Henry
Kim, Yoonhee
Koliyadu, Jayanath
Lange, Holger
Letrun, Romain
Lübke, Jannik
Mall, Abhishek
Michelat, Thomas
Morgan, Andrew J.
Roth, Nils
Samanta, Amit K.
Sato, Tokushi
Sikorski, Marcin
Schulz, Florian
Vagovic, Patrik
Wollweber, Tamme
Worbs, Lena
Xavier, Paul Lourdu
Maia, Filipe R. N. C.
Horke, Daniel A.
Küpper, Jochen
Mancuso, Adrian P.
Chapman, Henry N.
Ayyer, Kartik
Loh, N. Duane
Mesoscale and Nanoscale Physics
Nanoparticles, exhibiting functionally relevant structural heterogeneity, are at the forefront of cutting-edge research. Now, high-throughput single-particle imaging (SPI) with x-ray free-electron lasers (XFELs) creates unprecedented opportunities for recovering the shape distributions of millions of particles that exhibit functionally relevant structural heterogeneity. To realize this potential, three challenges have to be overcome: (1) simultaneous parametrization of structural variability in real and reciprocal spaces; (2) efficiently inferring the latent parameters of each SPI measurement; (3) scaling up comparisons between $10^5$ structural models and $10^6$ XFEL-SPI measurements. Here, we describe how we overcame these three challenges to resolve the non-equilibrium shape distributions within millions of gold nanoparticles imaged at the European XFEL. These shape distributions allowed us to quantify the degree of asymmetry in these particles, discover a relatively stable `shape envelope' amongst nanoparticles, discern finite-size effects related to shape-controlling surfactants, and extrapolate nanoparticles' shapes to their idealized thermodynamic limit. Ultimately, these demonstrations show that XFEL SPI can help transform nanoparticle shape characterization from anecdotally interesting to statistically meaningful.
title Resolving non-equilibrium shape variations amongst millions of gold nanoparticles
topic Mesoscale and Nanoscale Physics
url https://arxiv.org/abs/2401.04896