Finding the hidden needle: a workflow for 3D cryo-correlative light and electron microscopy volume imaging

Imagine capturing 3D images of whole tissue in an unperturbed hydrated state, transitioning from 3D cryo-light microscopy to 3D cryo-electron microscopy. Now this is possible with our 3D cryoCLEM workflow.
Published in Protocols & Methods
Like

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

We all know finding a needle in a haystack is a sheer impossible task, especially when it is buried deep within. If the needle happens to rest on the top of the haystack, one may be fortunate enough to spot it shining in contrast to the surrounding hay. But that rarely happens. Similarly, scientists often face the challenge of locating small targets within large volumes, like specific proteins or specific organelles within the whole volume of a cell. But fear not, correlative light and electron microscopy (CLEM) comes to the rescue.

CLEM combines the strengths of light microscopy (LM) and electron microscopy (EM) techniques, such as transmission electron microscopy (TEM) and focused ion beam scanning electron microscopy (FIB-SEM). First, LM provides a broad view of the sample, capturing specific events or structures with fluorescent labels. Then, the sample undergoes EM processing, allowing nanoscale information to be correlated with LM data using localization markers (Figure 1). CLEM can be performed at a surface level, for example, correlating LM data with a 2D TEM image, as it is a well-established procedure in life sciences. However, sometimes your biological question cannot be answered looking at the surface level of a 2D TEM section, requiring a more global visualization in 3D. Obtaining 3D information in large volumes, called volume imaging, is one of the seven technologies to watch in 2023 chosen by Nature1, as it allows us to explore complex research questions, such as cell-cell or cell-matrix interactions. This capability will be revolutionary for our understanding of how life happens. However, to date, CLEM volume imaging has been obtained only for dried samples at room temperature2  and is still an unchartered territory when it comes to imaging under cryogenic temperatures.

Figure 1. Typical workflow for correlative light and electron microscopy 

Imaging under cryogenic conditions is advantageous as it preserves the sample in a fully hydrated state, keeping the biological structures in a vitrified near-native state. But this unprecedented advantage comes with the cost of requiring more complex protocols for both imaging and sample preparation. CryoCLEM has proven successful for certain samples directly placed and vitrified on a TEM grid, enabling atomic-level observations of protein structures within cells3. But for larger samples like organoids or tissues, direct placement and vitrification on a TEM grid are not feasible. These larger models require robust freezing techniques like high-pressure freezing (HPF) to safely vitrify samples up to 200 μm thick. Unfortunately, HPF-frozen samples yield featureless ice surfaces, hindering precise LM-EM correlation. It is as if luck runs out, and the "shining up" spots can no longer guide the way.

At the Electron Microscopy Center of Radboud University Medical Center in the Netherlands, we have developed a creative solution for performing cryogenic correlative imaging in 3D samples, recently published in Communications Biology4. We have developed a workflow, bridging 3D cryo LM and 3D cryo FIB-SEM. By imprinting a recognizable and reproducible pattern on the top of the ice using FinderTOP, we have regained our luck to find our way to 3D correlate LM and EM.

This innovative approach was driven by the research interests of our research group5, focused on understanding the formation of mineralized tissues. These tissues, like our bones, involve the deposition of collagen-rich extracellular matrices (ECM) impregnated with mineral crystals. To study this process comprehensively, a robust imaging platform is required, and cryogenic imaging is a must to preserve the delicate structures of ECM and mineral precursors. The group chose zebrafish scales as a model, where resident cells deposit a partially mineralized collagen matrix to balance rigidity and flexibility for protection and movement.

As a proof-of-concept of our workflow, regenerating zebrafish scales, with millimeter dimensions and a thickness of tens of micrometers, were harvested, stained, and placed in an HPF carrier. The carrier was sealed with a FinderTOP, which imprints a square grid pattern on the sample surface during vitrification. This pattern is visible in cryoFIB/SEM and reflection mode cryo-light microscopy (Figure 2).

Figure 2. a) (i) conventional flat top carrier with a featureless surface and (ii) FinderTOP with an imprinted pattern on the ice surface. b) The FinderTOP pattern is visible in reflection images obtained using cryo-light. c) an overlay of the reflection image in the confocal fluorescence microscope (green) with the SEM image in the FIB/SEM (gray) shows the presence of letters and numbers.

By using the pattern for localization and fluorescent features to identify the region of interest (ROI) with a confocal microscope, we targeted specific locations within the 3D volumes. High-resolution imaging of these locations in the native hydrated state was then performed using cryoFIB/SEM. Computational alignment of the imaging modalities allowed precise localization of mitochondria within cells, in 3D (Figure 3).

Figure 3: Correlation of cryoFIB/SEM and cryoLM images: (a) Overlay of single x-y slices from cryoLM and resliced cryoFIB/SEM volume. The white dashed box indicates the region shown in figures b-f. (b) Zoomed-in fluorescent image highlighting five distinct regions labeled for mitochondria. Z-values represent the total thickness of the single slice. (c-f) Image pairs at different depths of resliced FIB/SEM images, corresponding to the cryoLM image in b, both with and without the fluorescence overlay.

We believe that this correlative cryogenic workflow will enable targeted high-resolution volume imaging of various tissues without compromising their integrity, opening new possibilities for groundbreaking discoveries in life sciences. From now on, finding a needle in a haystack can be much easier than ever before.

References

  1. Seven technologies to watch in 2023. https://www.nature.com/articles/d41586-023-00178-y.
  2. Hoffman, D. P. et al. Correlative three-dimensional super-resolution and block-face electron microscopy of whole vitreously frozen cells. Science (80-. ). 367, (2020).
  3. Mahamid, J. et al. Visualizing the molecular sociology at the HeLa cell nuclear periphery. Science (80-. ). 351, 969–972 (2016).
  4. de Beer, M. et al. Precise targeting for 3D cryo-correlative light and electron microscopy volume imaging of tissues using a FinderTOP. Commun. Biol. 6, 510 (2023).
  5. Biochemistry of Mineralized Tissues Group. https://www.mineralizedtissues.com/.

 

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Follow the Topic

Biological Techniques
Life Sciences > Biological Sciences > Biological Techniques

Related Collections

With collections, you can get published faster and increase your visibility.

Artificial intelligence in genomics

Communications Biology, Nature Communications and Scientific Reports welcome submissions that showcase how artificial intelligence can be used to improve our understanding of the genetic basis for complex traits or diseases.

Publishing Model: Open Access

Deadline: Oct 12, 2024

Molecular determinants of intracellular infection

This Collection welcomes submissions focusing on pathogen-host biology and involving intracellular bacteria and parasites.

Publishing Model: Open Access

Deadline: Oct 16, 2024