Correlating Data from Imaging Modalities

Paul‐Gilloteaux, Perrine; Schorb, Martin

doi:10.1002/9781119086420.ch11

Cited by 3 publications

(2 citation statements)

References 68 publications

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“…Algorithms then have to deal with what is called occlusion effect. The problem is usually tackled in a two-step process: first finding the coarse relationship between images, then doing a more accurate registration, that may take into account local deformation if any [93]. These local deformations are usually due to the sample preparation step (for instance, dehydration in histology, which makes the workflow of Figure 5 very challenging without the use of fiducials).…”

Section: Correlation Softwarementioning

confidence: 99%

Correlated Multimodal Imaging in Life Sciences: Expanding the Biomedical Horizon

et al. 2020

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Section: Correlation Softwarementioning

confidence: 99%

Correlated Multimodal Imaging in Life Sciences: Expanding the Biomedical Horizon

et al. 2020

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“…These data may well originate from the exact same area within a cell; however, they are likely to bear no similarity in the recorded images, leaving the researcher without reference points to allow the useful association of the information captured. This brings about the absolute need for positional markers (fiducials) visible across the correlative scheme that can serve as universal points of reference for 3D imaging data alignment 1,13,[36][37][38][39] .…”

Section: Introductionmentioning

confidence: 99%

Sample preparation strategies for efficient correlation of 3D SIM and soft X-ray tomography data at cryogenic temperatures

et al. 2021

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This protocol describes sample preparation strategies for correlative 3D cryo-SIM and cryo soft X-ray tomography. In addition, the authors provide a direct comparison and recommendations regarding the selection and use of fiducials for 3D correlation. TWEET A new protocol for sample preparation and fiducial selection for correlative cryo-SIM and cryo-soft X-ray tomography. #CLXT #cryoimaging #cellstructure #correlativeimaging COVER TEASER Correlative cryo-SIM and cryo-soft X-ray tomographyAbstract 3D correlative microscopy methods have revolutionised biomedical research allowing the acquisition of multi-dimensional information to gain an in-depth understanding of biological systems. With the advent of relevant cryo-preservation methods, correlative imaging of cryogenically preserved samples has led to nanometre resolution imaging (2-50 nm) under harsh imaging regimes such as electron and soft X-ray tomography. These methods have now been combined with conventional and super resolution fluorescence imaging at cryogenic temperatures to augment information content from a given sample resulting in the immediate requirement for protocols that facilitate hassle-free unambiguous cross correlation between microscopes. We present here sample preparation strategies and a direct comparison of different working fiducialisation regimes that facilitate 3D correlation of cryo-structured illumination microscopy and cryo-soft X-ray tomography. Our protocol has been tested at two synchrotron beamlines (B24 at Diamond Light Source in the UK and BL09 Mistral at ALBA in Spain) and has led to the development of a decision aid that facilitates experimental design with the strategic use of markers based on project requirements. This protocol takes between 1.5 hours and 3.5 days to complete, depending on the cell populations used (adherent cells may require several days to grow on sample carriers).

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Synchronization to Visualization: Dissecting Myogenesis and Regeneration Using Correlative Light and Electron Microscopy (CLEM)

Khan,

Scher,

Avinoam

2023

Reference Series in Biomedical Engineering

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Correlating Data from Imaging Modalities

Cited by 3 publications

References 68 publications

Correlated Multimodal Imaging in Life Sciences: Expanding the Biomedical Horizon

Correlated Multimodal Imaging in Life Sciences: Expanding the Biomedical Horizon

Sample preparation strategies for efficient correlation of 3D SIM and soft X-ray tomography data at cryogenic temperatures

Synchronization to Visualization: Dissecting Myogenesis and Regeneration Using Correlative Light and Electron Microscopy (CLEM)

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