Cryo-electron tomography : a journey from sample preparation to data mining /
"Cryo-Electron Tomography: A Journey from Sample Preparation to Data Mining providing a holistic overview of this rapidly advancing field and equipping researchers with the knowledge and tools necessary to initiate their own investigations. The book begins with a section on advanced cryogenic s...
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| Format: | eBook |
| Language: | English |
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Amsterdam :
Academic Press,
2025.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1. Characteristics of sample preparation for electron microscopy / Seth A. Villarreal
- 2. Cryo-FIB developments to enable nanoscale biopsies / Alexander Rigort and Andrew Leis
- 3. Preparing bacterial cells for cryo-electron tomography / Mohammed Kaplan, William J. Nicolas and Grant J. Jensen
- 4. Revealing the hidden world of microbes in situ: Sample preparation workflows for cryo-electron tomography / Samira Heydari and Jun Liu
- 5. Mastering the preparation of eukaryotic cell samples for cryo-ET: Tips and techniques / Cécile Sauvanet and Dorit Hanein
- 6. Interpretation of cellular tomograms / Niels Volkmann
- 7. Denoising in cryoET / Jose-Jesus Fernandez
- 8. Feature detection in cryo-electron tomography image analysis / Mostofa Rafid Uddin, Sajib Acharjee Dip, Rajat Aayush Jha, Xiangrui Zeng and Min Xu
- 9. Validation methods in cryo-electron tomography / F.P. de Isidro-Gómez, J.L. Vilas, E. Fernández-Giménez, O.L. Zarrabeitia, D. Marchán, M. Iceta, D. Herreros, P. Conesa, Y.C. Fonseca, J. Jiménez de la Morena, A. Cuervo, P. Losana, C.O.S. Sorzano and J.M. Carazo.
- 1
- Characteristics of sample preparation for electron microscopy
- Introduction
- Methods of Imaging by Electron Microscopy
- Sample stability
- Cryofixation
- Workflow comparisons
- Conclusions
- References
- 2
- Cryo-FIB developments to enable nanoscale biopsies
- Introduction
- The rise of cryo-FIB in structural biology
- Micromachining cryo-lamellae
- Technological advancements
- Properties of plasma FIB beams
- Assessing beam damage on cryo-lamellae
- Toward more challenging samples
- Another dimension
- from 2D to 3D cell culture
- Importance of correlative cryo-fluorescence microscopy
- Bulk sample processing
- Role of automation for in situ tomography
- Streamlining cryo-lamella preparation
- Outlook
- Acknowledgments
- References
- 3
- Preparing bacterial cells for cryo-electron tomography
- Introduction
- Sample preparation
- Bacterial growth
- Imaging individual cells
- Imaging cell-cell interactions
- Other tips
- Preparing grids for cryo-ET
- Gold fiducials
- Freezing samples
- Thinning samples
- Collecting data
- Analysis and data storage (and significance of cryo-ET database)
- Concluding remarks
- Acknowledgments
- References
- 4
- Revealing the hidden world of microbes in situ: Sample preparation workflows for cryo-electron tomography
- Introduction
- An overview of the cryo-ET workflow
- Sample preparation for direct cryo-ET imaging
- Intact bacteria with thin diameter
- Preparing bacterial culture
- Collecting bacteria
- Bacterial minicells
- Bacteria-host interactions: Extracellular pathogens
- Frozen-hydrated specimen preparation
- Grid type and preparation.
- Vitrification
- Clipping
- Sample preparation for cryo-FIB-ET imaging
- Bacteria-host interactions: Intracellular pathogens
- Grid preparation
- Target localization
- Cryo-FIB milling
- Mapping
- Milling
- Summary and outlook
- Acknowledgments
- References
- 5
- Mastering the preparation of eukaryotic cell samples for cryo-ET: Tips and techniques
- Summary
- Preparation of cell-culture-amenable cryo-ET substrates
- Grids
- What size mesh, hole, and distribution?
- Holey grids
- Making grids cell culture compatible
- Grids sterilization
- Increasing efficient cell seeding
- Seeding cells
- Vitrification
- Manual plunger versus automated (Vitrobot/EMGP)
- Sample thickness
- Prior to vitrification
- Cryo-CLEM
- Fiducials
- Gold fiducial
- Dual-purpose fluorescent fiducial
- Cell integrity and sample quality assessment
- Perspectives
- Cell suspension
- Grid functionalization
- References
- 6
- Interpretation of cellular tomograms
- Introduction
- The need for holistic approaches to tomogram interpretation
- Tomogram enhancements
- Membrane segmentation
- Tracing of filamentous structures
- Analysis of cellular architecture
- Outlook and conclusion
- References
- 7
- Denoising in cryoET
- Introduction
- Basic concepts of filtering in the real and Fourier space
- Handling noise during tomographic reconstruction
- Denoising tomograms
- Linear methods
- Gaussian filter
- Nonlinear methods
- Median filter
- Beltrami flow
- Other nonlinear methods
- Anisotropic methods
- Bilateral filtering
- Nonlocal means
- Anisotropic nonlinear diffusion
- Deep-learning approaches to denoising tomograms
- Contrast improvement through CTF deconvolution
- Software
- Concluding remarks
- Acknowledgments
- References
- 8
- Feature detection in cryo-electron tomography image analysis
- Introduction.
- Feature enhancement
- Denoising
- Wavelet-based denoising methods
- Neural-network-based denoising methods
- Missing wedge compensation
- MW compensation during reconstruction
- MW compensation after reconstruction
- Saliency detection
- Feature object detection
- Particle picking
- Membrane-bounded particle detection
- Ultrastructure detection
- Feature semantic segmentation
- Deep semantic segmentation of subtomograms
- Membrane segmentation
- Feature representation learning and classification
- Subtomogram classification and clustering
- Feature representation learning and pattern mining
- Feature structural recovery
- Subtomogram alignment and averaging
- Continuous conformational variability analysis
- Discussion and conclusion
- References
- 9
- Validation methods in cryo-electron tomography
- Introduction
- The cryoET image processing workflow
- Movie alignment
- Validation methods
- Tilt-series alignment
- Validation methods
- Contrast transfer function (CTF)
- Validation methods
- Tomogram reconstruction
- Validation methods
- Tomogram postprocessing
- Proposed validation methods
- Particle picking
- Validation methods
- Proposed validation methods
- Subtomogram averaging: Alignment and classification
- Validation methods
- Quality of the average map
- Validation methods
- Workflow validation strategies
- Validation methods
- Emerging topics in cryoET validation
- Acknowledgment
- References
- Index.