Integrated fluorescence light microscopy-guided cryo-focused ion beam-milling for in situ montage cryo-ET

Jie E Yang1,2,3, Veronika Vrbovská4, Joshua M Mitchell5,6,7

  • 1Department of Biochemistry, University of Wisconsin, Madison, WI, USA.

Nature Protocols
|January 30, 2026
PubMed

Insights

This study introduces a streamlined workflow for cryo-electron tomography (cryo-ET) using fluorescence microscopy-guided focused ion beam (FIB) milling. This method enhances throughput and preserves structural data for in situ structural biology.

Area of Science:

  • Structural Biology
  • Microscopy Techniques
  • Biophysics

Background:

  • Cryo-electron tomography (cryo-ET) visualizes macromolecules in situ.
  • Cryo-focused ion beam (FIB) milling is crucial for preparing thin cryo-lamellae for cryo-ET.
  • Locating targets for cryo-FIB milling is challenging, often leading to loss of regions of interest.

Purpose of the Study:

  • To develop an integrated workflow for correlative cryo-fluorescence light microscopy-FIB-ET.
  • To streamline fluorescence light microscopy-guided FIB milling for improved throughput and data preservation.
  • To enhance the efficiency of 3D targeting in cryo-milling for in situ structural biology.

Main Methods:

  • A novel 3D correlative cryo-fluorescence light microscopy-FIB-ET workflow was developed.
  • Hardware and software integration minimized sample contamination and enhanced targeting efficiency.
  • Montage parallel array cryo-ET (MPACT) was implemented for high-throughput data acquisition.

Main Results:

  • The workflow significantly streamlines fluorescence-guided FIB milling.
  • It preserves both structural and contextual information of biological macromolecules.
  • MPACT enables high-throughput cryo-ET acquisitions (10 tilt series in 1.5 h).

Conclusions:

  • The integrated workflow enhances the efficiency and throughput of cryo-FIB milling for in situ structural biology.
  • MPACT facilitates comprehensive structural determination and contextual understanding of macromolecules in their native environment.
  • The complete process from sample preparation to data processing takes 5-7 days for experienced users.

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