Jason Manassa

University of Michigan–Ann Arbor

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Nithya Ramnath

Ann Arbor VA Medical Center

Nina G. Steele

Henry Ford Hospital

Craig J. Galbán

University of Michigan–Ann Arbor

Carlos E. Espinoza

University of Michigan–Ann Arbor

Brian Magnuson

Michigan Center for Translational Pathology

Timothy L. Frankel

University of Michigan–Ann Arbor

Sophia Cavanaugh

University of Michigan–Ann Arbor

Stefanie Galbán

University of Michigan–Ann Arbor

Marina Pasca di Magliano

University of Michigan–Ann Arbor

Ivana Barravecchia

University of Michigan–Ann Arbor

Cooperative Institutions

University of Michigan–Ann Arbor

Michigan United

Argonne National Laboratory

Cornell University

Michigan Medicine

Ann Arbor Center for Independent Living

Michigan Center for Translational Pathology

University of California, Berkeley

Lawrence Berkeley National Laboratory

Ann Arbor VA Medical Center

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Chemical Electron Tomography at Lower Dose and Higher Resolution

Microscopy and Microanalysis (2024)

Robert Hovden Jonathan Schwartz Suk Hyun Sung Zichao Wendy Di Yi Jiang

10.1093/mam/ozae044.890

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Imaging 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography

Research Square (Research Square) (2023)

Robert Hovden Jonathan Schwartz Zichao Wendy Di Yi Jiang Jason Manassa

Abstract Measuring the three-dimensional (3D) distribution of chemistry in nanoscale matter is a longstanding challenge for metrological science. The inelastic scattering events required for 3D chemical imaging are too rare, requiring high beam exposure that destroys the specimen before an experiment completes. Even larger doses are required to achieve high resolution. Thus, chemical mapping in 3D has been unachievable except at lower resolution with the most radiation-hard materials. Here, high-resolution 3D chemical imaging is achieved near or below one nanometer resolution in a Au-Fe₃O₄ metamaterial, Co₃O₄ - Mn₃O₄ core-shell nanocrystals, and ZnS-Cu_0.64S_0.36 nanomaterial using fused multi-modal electron tomography. Multi-modal data fusion enables high-resolution chemical tomography often with 99% less dose by linking information encoded within both elastic (HAADF) and inelastic (EDX / EELS) signals. Now sub-nanometer 3D resolution of chemistry is measurable for a broad class of geometrically and compositionally complex materials.

Chemical Imaging

Nanometre

Nanomaterials

10.21203/rs.3.rs-2777794/v1

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Imaging 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography

arXiv (Cornell University) (2023)

Jonathan Schwartz Zichao Wendy Di Yi Jiang Jason Manassa Jacob Pietryga

Measuring the three-dimensional (3D) distribution of chemistry in nanoscale matter is a longstanding challenge for metrological science. The inelastic scattering events required for 3D chemical imaging are too rare, requiring high beam exposure that destroys the specimen before an experiment completes. Even larger doses are required to achieve high resolution. Thus, chemical mapping in 3D has been unachievable except at lower resolution with the most radiation-hard materials. Here, high-resolution 3D chemical imaging is achieved near or below one nanometer resolution in a Au-Fe$_3$O$_4$ metamaterial, Co$_3$O$_4$ - Mn$_3$O$_4$ core-shell nanocrystals, and ZnS-Cu$_{0.64}$S$_{0.36}$ nanomaterial using fused multi-modal electron tomography. Multi-modal data fusion enables high-resolution chemical tomography often with 99\% less dose by linking information encoded within both elastic (HAADF) and inelastic (EDX / EELS) signals. Now sub-nanometer 3D resolution of chemistry is measurable for a broad class of geometrically and compositionally complex materials.

Chemical Imaging

Nanometre

Nanomaterials

10.48550/arxiv.2304.12259

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Supplemental Table S2 from Modeling Molecular Pathogenesis of Idiopathic Pulmonary Fibrosis-Associated Lung Cancer in Mice

Ivana Barravecchia Jennifer M. Lee Jason Manassa Brian Magnuson Sarah F. Ferris

Supplemental Table S2. Antibody panel used for CyTOF analysis.

Pathogenesis

Table (database)

10.1158/1541-7786.25325084.v1

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Autonomous Multi-Modal Chemical Tomography using Bayesian Optimization

Microscopy and Microanalysis (2024)

William Millsaps Jonathan P. Schwartz Jason Manassa Zichao Wendy Di Yi Jiang

10.1093/mam/ozae044.159

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Supplemental Table S1 from Modeling Molecular Pathogenesis of Idiopathic Pulmonary Fibrosis-Associated Lung Cancer in Mice

Ivana Barravecchia Jennifer M. Lee Jason Manassa Brian Magnuson Sarah F. Ferris

Supplemental Table S1. Stains and antibodies used for mIHC.

Pathogenesis

Table (database)

10.1158/1541-7786.25325087.v1

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Imaging 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography

Zenodo (CERN European Organization for Nuclear Research) (2023)

Jonathan Schwartz Zichao Wendy Di Yi Jiang Jason Manassa Yiwen Qian

Measuring the three-dimensional (3D) distribution of chemistry in nanoscale matter is a longstanding challenge for metrological science. The inelastic scattering events required for 3D chemical imaging are too rare, requiring high beam exposure that destroys the specimen before an experiment completes. Even larger doses are required to achieve high resolution. Thus, chemical mapping in 3D has been unachievable except at lower resolution with the most radiation-hard materials. Here, high-resolution 3D chemical imaging is achieved near or below one nanometer resolution in a Au-Fe₃O₄ metamaterial, Co₃O₄ - Mn₃O₄ core-shell nanocrystals, and ZnS-Cu_0.64S_0.36 nanomaterial using fused multi-modal electron tomography. Multi-modal data fusion enables high-resolution chemical tomography often with 99% less dose by linking information encoded within both elastic (HAADF) and inelastic (EDX / EELS) signals. Now sub-nanometer 3D resolution of chemistry is measurable for a broad class of geometrically and compositionally complex materials.

10.5281/zenodo.8132804

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An Unexpected Source of Hard Carbon, Rice Hull Ash, Provides Unexpected Li⁺ Storage Capacities

Advanced Sustainable Systems (2024)

Mengjie Yu Man Wang Sylvio Indris Jason Manassa Alex Stangel

Abstract Hard carbon (HC) anodes used in secondary batteries have attracted increasing recent attention in particular to transition to new energy storage formats. To date, HC is produced exclusively by charring organic precursors in inert atmospheres. One would not expect to find HC in rice hull ash (RHA), the byproduct of rice hull combustion processes. However, in developing approaches to depolymerize RHA SiO 2 (90:10 wt% SiO 2 :C) to produce silica‐depleted RHA or SDRHA 40‐60 (40–60 wt% SiO 2 ) to tailor C:SiO 2 ratios for carbothermal reduction reactions, the SDRHA carbon component is recently revisited. In more detailed efforts to characterize the form of carbon present in SDRHA, a series of analyses reveal graphitized carbon domains in amorphous matrices, i.e., HC, despite RHA being produced via combustion in an oxidizing atmosphere. Comprehensive electrochemical analyses on SDRHA 40‐60 find unexpected capacities far in excess (>700 mAh g −1 ) of reported values for HC and graphite. Electrochemical and STEM characterization suggest that the unexpected capacity may come from the nanoscale morphology of the amorphous carbon component. Given that RHA is a biowaste generated in kilotons/year worldwide, there seems to be an opportunity to develop sustainable high‐capacity anode materials for alkali‐ion storage systems.

Carbon fibers

Oxidizing agent

Carbothermic reaction

Inert gas

Amorphous carbon

Charring

10.1002/adsu.202400667

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Supplemental Figure S3 from Modeling Molecular Pathogenesis of Idiopathic Pulmonary Fibrosis-Associated Lung Cancer in Mice

Ivana Barravecchia Jennifer M. Lee Jason Manassa Brian Magnuson Sarah F. Ferris

Supplemental Figure S3. PCA biplot (PC1 and PC2) of VST-normalized gene counts for the top 500 most variable genes.