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Katrantzi D, Micklethwaite S, Hondow N, Brown A, Dougan L. Unveiling the structure of protein-based hydrogels by overcoming cryo-SEM sample preparation challenges. Faraday Discuss 2025. [PMID: 40400330 DOI: 10.1039/d4fd00204k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2025]
Abstract
Protein-based hydrogels have gained significant attention for their potential use in applications such as drug delivery and tissue engineering. Their internal structure is complex, spans across multiple length scales and affects their functionality, yet is not well understood because of folded proteins' sensitivity to physical and chemical perturbations and the high water content of hydrogels. Cryo-scanning electron microscopy (cryo-SEM) has the potential to reveal such hierarchical structure when hydrated hydrogels are prepared with appropriate cryofixation. We show for photochemically cross-linked, folded globular bovine serum albumin (BSA) protein hydrogels that preparation artefacts are reduced by in situ gelation, high pressure freezing (HPF), plasma focused ion beam (pFIB) milling, sublimation, and low dose secondary electron imaging. Cryo-SEM of folded BSA protein hydrogels prepared in this way reveals a heterogeneous network with nanoscale porosity (∼60 nm pores) surrounded by high secondary electron emission regions (∼30 nm diameter) interconnected by narrower, lower emission regions (∼20 nm length). This heterogeneous network structure is consistent with small angle scattering studies of folded protein hydrogels, with fractal-like clusters connected by intercluster regions. We further test the potential of cryo-SEM to detect the impact of protein unfolding on hydrogel network formation and reveal nanoscale differences in cluster sizes consistent with those derived from scattering data. Importantly, cryo-SEM directly images pores for sizing in both systems, with initial results on BSA suggesting protein unfolding induces an increase of ∼10 nm in pore sizes. Our findings on cryo-SEM sample preparation challenges and solutions provide new opportunities to link hydrogel structure to function.
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Affiliation(s)
- Dimitra Katrantzi
- School of Chemical and Process Engineering, Faculty of Engineering and Physical Sciences, University of Leeds, UK.
| | - Stuart Micklethwaite
- School of Chemical and Process Engineering, Faculty of Engineering and Physical Sciences, University of Leeds, UK.
| | - Nicole Hondow
- School of Chemical and Process Engineering, Faculty of Engineering and Physical Sciences, University of Leeds, UK.
| | - Andy Brown
- School of Chemical and Process Engineering, Faculty of Engineering and Physical Sciences, University of Leeds, UK.
| | - Lorna Dougan
- School of Physics and Astronomy, Faculty of Engineering and Physical Sciences, University of Leeds, UK.
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Nicholls D, Kobylynska M, Broad Z, Wells J, Robinson A, McGrouther D, Moshtaghpour A, Kirkland AI, Fleck RA, Browning ND. The Potential of Subsampling and Inpainting for Fast Low-Dose Cryo FIB-SEM Imaging. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2024; 30:96-102. [PMID: 38321738 DOI: 10.1093/micmic/ozae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/13/2023] [Accepted: 01/06/2024] [Indexed: 02/08/2024]
Abstract
Traditional image acquisition for cryo focused ion-beam scanning electron microscopy (FIB-SEM) tomography often sees thousands of images being captured over a period of many hours, with immense data sets being produced. When imaging beam sensitive materials, these images are often compromised by additional constraints related to beam damage and the devitrification of the material during imaging, which renders data acquisition both costly and unreliable. Subsampling and inpainting are proposed as solutions for both of these aspects, allowing fast and low-dose imaging to take place in the Focused ion-beam scanning electron microscopy FIB-SEM without an appreciable loss in image quality. In this work, experimental data are presented which validate subsampling and inpainting as a useful tool for convenient and reliable data acquisition in a FIB-SEM, with new methods of handling three-dimensional data being employed in the context of dictionary learning and inpainting algorithms using a newly developed microscope control software and data recovery algorithm.
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Affiliation(s)
- Daniel Nicholls
- Department of Mechanical, Materials and Aerospace Engineering, University of Liverpool, Liverpool, L69 3BX, UK
- SenseAI Innovations Ltd., Liverpool, L69 3BX, UK
| | - Maryna Kobylynska
- Centre for Ultrastructural Imaging, King's College London, London, WC2R 2LS, UK
- Randall Centre for Cell and Molecular Biophysics, King's College London, London, WC2R 2LS, UK
| | - Zoë Broad
- Department of Mechanical, Materials and Aerospace Engineering, University of Liverpool, Liverpool, L69 3BX, UK
| | - Jack Wells
- Distributed Algorithms Centre for Doctoral Training, University of Liverpool, Liverpool, L69 3BX, UK
| | - Alex Robinson
- Department of Mechanical, Materials and Aerospace Engineering, University of Liverpool, Liverpool, L69 3BX, UK
- SenseAI Innovations Ltd., Liverpool, L69 3BX, UK
| | | | - Amirafshar Moshtaghpour
- Department of Mechanical, Materials and Aerospace Engineering, University of Liverpool, Liverpool, L69 3BX, UK
- Correlated Imaging Group, Rosalind Franklin Institute, Didcot, OX11 0QS, UK
| | - Angus I Kirkland
- Correlated Imaging Group, Rosalind Franklin Institute, Didcot, OX11 0QS, UK
- Department of Materials, University of Oxford, Oxford, OX2 6NN, UK
| | - Roland A Fleck
- Centre for Ultrastructural Imaging, King's College London, London, WC2R 2LS, UK
- Randall Centre for Cell and Molecular Biophysics, King's College London, London, WC2R 2LS, UK
| | - Nigel D Browning
- Department of Mechanical, Materials and Aerospace Engineering, University of Liverpool, Liverpool, L69 3BX, UK
- SenseAI Innovations Ltd., Liverpool, L69 3BX, UK
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Ling Y, Sun T, Guo L, Si X, Jiang Y, Zhang Q, Chen Z, Terasaki O, Ma Y. Atomic-level structural responsiveness to environmental conditions from 3D electron diffraction. Nat Commun 2022; 13:6625. [PMID: 36333303 PMCID: PMC9636419 DOI: 10.1038/s41467-022-34237-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
Electron microscopy has been widely used in the structural analysis of proteins, pharmaceutical products, and various functional materials in the past decades. However, one fact is often overlooked that the crystal structure might be sensitive to external environments and response manners, which will bring uncertainty to the structure determination and structure-property correlation. Here, we report the atomic-level ab initio structure determinations of microcrystals by combining 3D electron diffraction (3D ED) and environmental transmission electron microscope (TEM). Environmental conditions, including cryo, heating, gas and liquid, have been successfully achieved using in situ holders to reveal the simuli-responsive structures of crystals. Remarkable structural changes have been directly resolved by 3D ED in one flexible metal-organic framework, MIL-53, owing to the response of framework to pressures, temperatures, guest molecules, etc.
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Affiliation(s)
- Yang Ling
- grid.440637.20000 0004 4657 8879School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210 PR China
| | - Tu Sun
- grid.440637.20000 0004 4657 8879School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210 PR China
| | - Linshuo Guo
- grid.440637.20000 0004 4657 8879School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210 PR China
| | - Xiaomeng Si
- grid.440637.20000 0004 4657 8879School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210 PR China
| | - Yilan Jiang
- grid.440637.20000 0004 4657 8879School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210 PR China ,grid.440637.20000 0004 4657 8879Shanghai Key Laboratory of High-resolution Electron Microscopy, ShanghaiTech University, Shanghai, 201210 PR China
| | - Qing Zhang
- grid.440637.20000 0004 4657 8879School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210 PR China ,grid.440637.20000 0004 4657 8879Shanghai Key Laboratory of High-resolution Electron Microscopy, ShanghaiTech University, Shanghai, 201210 PR China
| | - Zhaoxi Chen
- grid.440637.20000 0004 4657 8879Center for Transformative Science, ShanghaiTech University, Shanghai, 201210 PR China
| | - Osamu Terasaki
- grid.440637.20000 0004 4657 8879School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210 PR China ,grid.440637.20000 0004 4657 8879Shanghai Key Laboratory of High-resolution Electron Microscopy, ShanghaiTech University, Shanghai, 201210 PR China
| | - Yanhang Ma
- grid.440637.20000 0004 4657 8879School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210 PR China ,grid.440637.20000 0004 4657 8879Shanghai Key Laboratory of High-resolution Electron Microscopy, ShanghaiTech University, Shanghai, 201210 PR China
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