Cryo-tomography to Volume EM: Explore with Hydra Bio Plasma-FIB

Broadcast date: October 18, 2023

On-demand

Richard Vernon

Product Marketing Manager, Thermo Fisher Scientific

Jing Wang

Field Applications Scientist, Thermo Fisher Scientific

See how the new Thermo Scientific Hydra Bio Plasma-Focused Ion Beam (PFIB) extends cryo technology to volume EM and enables the acquisition of high-resolution 3D data through automated serial milling and imaging of frozen-hydrated specimens.

In this webinar, you will learn:

  • How cryogenic volume electron microscopy works;
  • About large-area imaging with the Spin Mill Bio Method;
  • Volume EM bioimaging capabilities of new Hydra Bio Plasma-FIB.

Volume electron microscopy or volume EM (vEM) was named one of Nature's Technologies to Watch in 2023. The new Thermo Scientific Hydra Bio PFIB integrates advanced cryo-TEM lamella preparation to volume EM workflows.

Cryo Auto Slice & View enables the acquisition of high-resolution 3D data through automated serial milling and imaging, enabling striking new insights into a range of frozen-hydrated specimens (prepared by high-pressure freezing or plunge freezing).

The choice of four different plasma ion species offers advantages for imaging challenging (for example, charging) cryo- and resin-embedded samples. The Hydra Bio also features the Spin Mill Bio Method, an exclusive technique for large-area planar milling that yields similar-sized imaging areas as microtome slicing. Hydra Bio PFIB combines field-proven and new techniques to enable cryo and room temperature applications.

The system's versatility is further emphasized by the ability to fully support cryo-tomography lamella preparation, cryo-lift-out applications, and correlative light and electron microscopy (CLEM) workflows using the iFLM integrated light microscope. 

To explore more volume imaging instruments and techniques, check out our on-demand webinar that explores how in situ cryo-electron tomography can visualize cellular architecture in three dimensions at nanometer resolution. You will also learn how to process 3D tomograms with machine learning to further resolve structures at sub-nanometer resolution.

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