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Schneider DK, Soares AS, Lazo EO, Kreitler DF, Qian K, Fuchs MR, Bhogadi DK, Antonelli S, Myers SS, Martins BS, Skinner JM, Aishima J, Bernstein HJ, Langdon T, Lara J, Petkus R, Cowan M, Flaks L, Smith T, Shea-McCarthy G, Idir M, Huang L, Chubar O, Sweet RM, Berman LE, McSweeney S, Jakoncic J. AMX - the highly automated macromolecular crystallography (17-ID-1) beamline at the NSLS-II. JOURNAL OF SYNCHROTRON RADIATION 2022; 29:1480-1494. [PMID: 36345756 PMCID: PMC9641562 DOI: 10.1107/s1600577522009377] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/24/2022] [Indexed: 06/16/2023]
Abstract
The highly automated macromolecular crystallography beamline AMX/17-ID-1 is an undulator-based high-intensity (>5 × 1012 photons s-1), micro-focus (7 µm × 5 µm), low-divergence (1 mrad × 0.35 mrad) energy-tunable (5-18 keV) beamline at the NSLS-II, Brookhaven National Laboratory, Upton, NY, USA. It is one of the three life science beamlines constructed by the NIH under the ABBIX project and it shares sector 17-ID with the FMX beamline, the frontier micro-focus macromolecular crystallography beamline. AMX saw first light in March 2016 and started general user operation in February 2017. At AMX, emphasis has been placed on high throughput, high capacity, and automation to enable data collection from the most challenging projects using an intense micro-focus beam. Here, the current state and capabilities of the beamline are reported, and the different macromolecular crystallography experiments that are routinely performed at AMX/17-ID-1 as well as some plans for the near future are presented.
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Affiliation(s)
| | | | - Edwin O. Lazo
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | | | - Kun Qian
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Martin R. Fuchs
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Dileep K. Bhogadi
- LCLS, SLAC National Accelerator Laboratory, Menlo Park, California, USA
| | - Steve Antonelli
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Stuart S. Myers
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | | | - John M. Skinner
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Jun Aishima
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Herbert J. Bernstein
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
- Ronin Institute, Montclair, New Jersey, USA
| | - Thomas Langdon
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - John Lara
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Robert Petkus
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Matt Cowan
- CSI, Brookhaven National Laboratory, Upton, New York, USA
| | - Leonid Flaks
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Thomas Smith
- Physics Department, Brookhaven National Laboratory, Upton, New York, USA
| | | | - Mourad Idir
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Lei Huang
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Oleg Chubar
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Robert M. Sweet
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Lonny E. Berman
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Sean McSweeney
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
| | - Jean Jakoncic
- NSLS-II, Brookhaven National Laboratory, Upton, New York, USA
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Schneider DK, Shi W, Andi B, Jakoncic J, Gao Y, Bhogadi DK, Myers SF, Martins B, Skinner JM, Aishima J, Qian K, Bernstein HJ, Lazo EO, Langdon T, Lara J, Shea-McCarthy G, Idir M, Huang L, Chubar O, Sweet RM, Berman LE, McSweeney S, Fuchs MR. FMX - the Frontier Microfocusing Macromolecular Crystallography Beamline at the National Synchrotron Light Source II. JOURNAL OF SYNCHROTRON RADIATION 2021; 28:650-665. [PMID: 33650577 PMCID: PMC7941291 DOI: 10.1107/s1600577520016173] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 12/11/2020] [Indexed: 05/26/2023]
Abstract
Two new macromolecular crystallography (MX) beamlines at the National Synchrotron Light Source II, FMX and AMX, opened for general user operation in February 2017 [Schneider et al. (2013). J. Phys. Conf. Ser. 425, 012003; Fuchs et al. (2014). J. Phys. Conf. Ser. 493, 012021; Fuchs et al. (2016). AIP Conf. Proc. SRI2015, 1741, 030006]. FMX, the micro-focusing Frontier MX beamline in sector 17-ID-2 at NSLS-II, covers a 5-30 keV photon energy range and delivers a flux of 4.0 × 1012 photons s-1 at 1 Å into a 1 µm × 1.5 µm to 10 µm × 10 µm (V × H) variable focus, expected to reach 5 × 1012 photons s-1 at final storage-ring current. This flux density surpasses most MX beamlines by nearly two orders of magnitude. The high brightness and microbeam capability of FMX are focused on solving difficult crystallographic challenges. The beamline's flexible design supports a wide range of structure determination methods - serial crystallography on micrometre-sized crystals, raster optimization of diffraction from inhomogeneous crystals, high-resolution data collection from large-unit-cell crystals, room-temperature data collection for crystals that are difficult to freeze and for studying conformational dynamics, and fully automated data collection for sample-screening and ligand-binding studies. FMX's high dose rate reduces data collection times for applications like serial crystallography to minutes rather than hours. With associated sample lifetimes as short as a few milliseconds, new rapid sample-delivery methods have been implemented, such as an ultra-high-speed high-precision piezo scanner goniometer [Gao et al. (2018). J. Synchrotron Rad. 25, 1362-1370], new microcrystal-optimized micromesh well sample holders [Guo et al. (2018). IUCrJ, 5, 238-246] and highly viscous media injectors [Weierstall et al. (2014). Nat. Commun. 5, 3309]. The new beamline pushes the frontier of synchrotron crystallography and enables users to determine structures from difficult-to-crystallize targets like membrane proteins, using previously intractable crystals of a few micrometres in size, and to obtain quality structures from irregular larger crystals.
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Affiliation(s)
| | - Wuxian Shi
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Babak Andi
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Jean Jakoncic
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Yuan Gao
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | | | - Stuart F. Myers
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Bruno Martins
- Facility for Rare Isotope Beams, Michigan State University, East Lansing, MI 48824, USA
| | - John M. Skinner
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Jun Aishima
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Kun Qian
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Herbert J. Bernstein
- Ronin Institute for Independent Scholarship, c/o NSLS-II, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Edwin O. Lazo
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Thomas Langdon
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - John Lara
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | | | - Mourad Idir
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Lei Huang
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Oleg Chubar
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Robert M. Sweet
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Lonny E. Berman
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Sean McSweeney
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Martin R. Fuchs
- Photon Sciences, Brookhaven National Laboratory, Upton, NY 11973, USA
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Yang L, Antonelli S, Chodankar S, Byrnes J, Lazo E, Qian K. Solution scattering at the Life Science X-ray Scattering (LiX) beamline. JOURNAL OF SYNCHROTRON RADIATION 2020; 27:804-812. [PMID: 32381785 PMCID: PMC7206542 DOI: 10.1107/s1600577520002362] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 02/19/2020] [Indexed: 05/03/2023]
Abstract
This work reports the instrumentation and software implementation at the Life Science X-ray Scattering (LiX) beamline at NSLS-II in support of biomolecular solution scattering. For automated static measurements, samples are stored in PCR tubes and grouped in 18-position sample holders. Unattended operations are enabled using a six-axis robot that exchanges sample holders between a storage box and a sample handler, transporting samples from the PCR tubes to the X-ray beam for scattering measurements. The storage box has a capacity of 20 sample holders. At full capacity, the measurements on all samples last for ∼9 h. For in-line size-exclusion chromatography, the beamline-control software coordinates with a commercial high-performance liquid chromatography (HPLC) system to measure multiple samples in batch mode. The beamline can switch between static and HPLC measurements instantaneously. In all measurements, the scattering data span a wide q-range of typically 0.006-3.2 Å-1. Functionalities in the Python package py4xs have been developed to support automated data processing, including azimuthal averaging, merging data from multiple detectors, buffer scattering subtraction, data storage in HDF5 format and exporting the final data in a three-column text format that is acceptable by most data analysis tools. These functionalities have been integrated into graphical user interfaces that run in Jupyter notebooks, with hooks for external data analysis software.
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Affiliation(s)
- Lin Yang
- NSLS-II, Brookhaven National Laboratory, Upton, NY 11973, USA
| | | | | | - James Byrnes
- NSLS-II, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Edwin Lazo
- NSLS-II, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - Kun Qian
- NSLS-II, Brookhaven National Laboratory, Upton, NY 11973, USA
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Stander N, Fromme P, Zatsepin N. DatView: a graphical user interface for visualizing and querying large data sets in serial femtosecond crystallography. J Appl Crystallogr 2019; 52:1440-1448. [PMID: 31798364 PMCID: PMC6878877 DOI: 10.1107/s1600576719012044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 08/30/2019] [Indexed: 11/30/2022] Open
Abstract
DatView is a new graphical user interface (GUI) for plotting parameters to explore correlations, identify outliers and export subsets of data. It was designed to simplify and expedite analysis of very large unmerged serial femtosecond crystallography (SFX) data sets composed of indexing results from hundreds of thousands of microcrystal diffraction patterns. However, DatView works with any tabulated data, offering its functionality to many applications outside serial crystallography. In DatView's user-friendly GUI, selections are drawn onto plots and synchronized across all other plots, so correlations between multiple parameters in large multi-parameter data sets can be rapidly identified. It also includes an item viewer for displaying images in the current selection alongside the associated metadata. For serial crystallography data processed by indexamajig from CrystFEL [White, Kirian, Martin, Aquila, Nass, Barty & Chapman (2012 ▸). J. Appl. Cryst. 45, 335-341], DatView generates a table of parameters and metadata from stream files and, optionally, the associated HDF5 files. By combining the functionality of several commonly needed tools for SFX in a single GUI that operates on tabulated data, the time needed to load and calculate statistics from large data sets is reduced. This paper describes how DatView facilitates (i) efficient feedback during data collection by examining trends in time, sample position or any parameter, (ii) determination of optimal indexing and integration parameters via the comparison mode, (iii) identification of systematic errors in unmerged SFX data sets, and (iv) sorting and highly flexible data filtering (plot selections, Boolean filters and more), including direct export of subset CrystFEL stream files for further processing.
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Affiliation(s)
- Natasha Stander
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85287, USA
- Biodesign Center for Applied Structural Discovery, Arizona State University, Tempe, AZ 85287, USA
| | - Petra Fromme
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85287, USA
- Biodesign Center for Applied Structural Discovery, Arizona State University, Tempe, AZ 85287, USA
| | - Nadia Zatsepin
- Biodesign Center for Applied Structural Discovery, Arizona State University, Tempe, AZ 85287, USA
- Department of Physics, Arizona State University, Tempe, AZ 85287, USA
- ARC Centre of Excellence in Advanced Molecular Imaging, Department of Chemistry and Physics, La Trobe Institute for Molecular Science, La Trobe University, Victoria 3086, Australia
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Keedy DA. Journey to the center of the protein: allostery from multitemperature multiconformer X-ray crystallography. Acta Crystallogr D Struct Biol 2019; 75:123-137. [PMID: 30821702 PMCID: PMC6400254 DOI: 10.1107/s2059798318017941] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 12/19/2018] [Indexed: 02/08/2023] Open
Abstract
Proteins inherently fluctuate between conformations to perform functions in the cell. For example, they sample product-binding, transition-state-stabilizing and product-release states during catalysis, and they integrate signals from remote regions of the structure for allosteric regulation. However, there is a lack of understanding of how these dynamic processes occur at the basic atomic level. This gap can be at least partially addressed by combining variable-temperature (instead of traditional cryogenic temperature) X-ray crystallography with algorithms for modeling alternative conformations based on electron-density maps, in an approach called multitemperature multiconformer X-ray crystallography (MMX). Here, the use of MMX to reveal alternative conformations at different sites in a protein structure and to estimate the degree of energetic coupling between them is discussed. These insights can suggest testable hypotheses about allosteric mechanisms. Temperature is an easily manipulated experimental parameter, so the MMX approach is widely applicable to any protein that yields well diffracting crystals. Moreover, the general principles of MMX are extensible to other perturbations such as pH, pressure, ligand concentration etc. Future work will explore strategies for leveraging X-ray data across such perturbation series to more quantitatively measure how different parts of a protein structure are coupled to each other, and the consequences thereof for allostery and other aspects of protein function.
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Affiliation(s)
- Daniel A. Keedy
- Structural Biology Initiative, CUNY Advanced Science Research Center, New York, USA
- Department of Chemistry and Biochemistry, City College of New York, New York, USA
- PhD Programs in Chemistry and Biochemistry, The Graduate Center of the City University of New York, New York, USA
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6
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Yamamoto M, Hirata K, Yamashita K, Hasegawa K, Ueno G, Ago H, Kumasaka T. Protein microcrystallography using synchrotron radiation. IUCRJ 2017; 4:529-539. [PMID: 28989710 PMCID: PMC5619846 DOI: 10.1107/s2052252517008193] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 06/02/2017] [Indexed: 05/21/2023]
Abstract
The progress in X-ray microbeam applications using synchrotron radiation is beneficial to structure determination from macromolecular microcrystals such as small in meso crystals. However, the high intensity of microbeams causes severe radiation damage, which worsens both the statistical quality of diffraction data and their resolution, and in the worst cases results in the failure of structure determination. Even in the event of successful structure determination, site-specific damage can lead to the misinterpretation of structural features. In order to overcome this issue, technological developments in sample handling and delivery, data-collection strategy and data processing have been made. For a few crystals with dimensions of the order of 10 µm, an elegant two-step scanning strategy works well. For smaller samples, the development of a novel method to analyze multiple isomorphous microcrystals was motivated by the success of serial femtosecond crystallography with X-ray free-electron lasers. This method overcame the radiation-dose limit in diffraction data collection by using a sufficient number of crystals. Here, important technologies and the future prospects for microcrystallography are discussed.
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Affiliation(s)
- Masaki Yamamoto
- Advanced Photon Technology Division, RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
| | - Kunio Hirata
- Advanced Photon Technology Division, RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
- Precursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan
| | - Keitaro Yamashita
- Advanced Photon Technology Division, RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
| | - Kazuya Hasegawa
- Advanced Photon Technology Division, RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
- Protein Crystal Analysis Division, Japan Synchrotron Radiation Research Institute, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5198, Japan
| | - Go Ueno
- Advanced Photon Technology Division, RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
| | - Hideo Ago
- Advanced Photon Technology Division, RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
| | - Takashi Kumasaka
- Advanced Photon Technology Division, RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
- Protein Crystal Analysis Division, Japan Synchrotron Radiation Research Institute, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5198, Japan
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Owen RL, Juanhuix J, Fuchs M. Current advances in synchrotron radiation instrumentation for MX experiments. Arch Biochem Biophys 2016; 602:21-31. [PMID: 27046341 PMCID: PMC5505570 DOI: 10.1016/j.abb.2016.03.021] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Revised: 03/16/2016] [Accepted: 03/21/2016] [Indexed: 11/15/2022]
Abstract
Following pioneering work 40 years ago, synchrotron beamlines dedicated to macromolecular crystallography (MX) have improved in almost every aspect as instrumentation has evolved. Beam sizes and crystal dimensions are now on the single micron scale while data can be collected from proteins with molecular weights over 10 MDa and from crystals with unit cell dimensions over 1000 Å. Furthermore it is possible to collect a complete data set in seconds, and obtain the resulting structure in minutes. The impact of MX synchrotron beamlines and their evolution is reflected in their scientific output, and MX is now the method of choice for a variety of aims from ligand binding to structure determination of membrane proteins, viruses and ribosomes, resulting in a much deeper understanding of the machinery of life. A main driving force of beamline evolution have been advances in almost every aspect of the instrumentation comprising a synchrotron beamline. In this review we aim to provide an overview of the current status of instrumentation at modern MX experiments. The most critical optical components are discussed, as are aspects of endstation design, sample delivery, visualisation and positioning, the sample environment, beam shaping, detectors and data acquisition and processing.
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Affiliation(s)
- Robin L Owen
- Diamond Light Source, Harwell Science and Innovation Campus, Didcot, OX11 0DE, UK.
| | - Jordi Juanhuix
- Alba Synchrotron, Carrer de la llum 2-26, Cerdanyola, 08192, Spain.
| | - Martin Fuchs
- National Synchrotron Light Source II, Brookhaven National Lab, Upton, NY, 11973, USA.
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9
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Guo F, Zhou W, Li P, Mao Z, Yennawar N, French JB, Jun Huang T. Precise Manipulation and Patterning of Protein Crystals for Macromolecular Crystallography Using Surface Acoustic Waves. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2015; 11:2733-7. [PMID: 25641793 PMCID: PMC4478196 DOI: 10.1002/smll.201403262] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Revised: 12/19/2014] [Indexed: 05/20/2023]
Abstract
Advances in modern X-ray sources and detector technology have made it possible for crystallographers to collect usable data on crystals of only a few micrometers or less in size. Despite these developments, sample handling techniques have significantly lagged behind and often prevent the full realization of current beamline capabilities. In order to address this shortcoming, a surface acoustic wave-based method for manipulating and patterning crystals is developed. This method, which does not damage the fragile protein crystals, can precisely manipulate and pattern micrometer and submicrometer-sized crystals for data collection and screening. The technique is robust, inexpensive, and easy to implement. This method not only promises to significantly increase efficiency and throughput of both conventional and serial crystallography experiments, but will also make it possible to collect data on samples that were previously intractable.
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Affiliation(s)
- Feng Guo
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Weijie Zhou
- Department of Chemistry, Stony Brook University, Stony Brook, NY 11794, USA
| | - Peng Li
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Zhangming Mao
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Neela Yennawar
- Huck Institutes for Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Jarrod B. French
- Department of Chemistry, Stony Brook University, Stony Brook, NY 11794, USA
- Department of Biochemistry & Cell Biology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Tony Jun Huang
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
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