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A reliable workflow for improving nanoscale X-ray fluorescence tomographic analysis on nanoparticle-treated HeLa
Yanqi Luo1, Tatjana Paunesku2, Olga Antipova1
1X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA.
Metallomics : Integrated Biometal Science
|June 25, 2022
Summary
This study introduces a new workflow for nanoscale X-ray fluorescence (XRF) tomography, overcoming sample limitations to enable detailed 3D elemental analysis of cells and nanocomposites.
Area of Science:
- Nanotechnology
- Biophysics
- Materials Science
Background:
- Scanning X-ray fluorescence (XRF) tomography offers powerful 3D elemental distribution analysis.
- Geometric constraints and sample obstructions limit XRF tomography's experimental window and multiscale capabilities.
Purpose of the Study:
- To develop an efficient workflow expanding the experimental window for nanoscale XRF tomography.
- To bridge 3D analysis at micrometer and nanoscales on the same specimen.
- To analyze the interaction of nanocomposites with cells at subcellular and population levels.
Main Methods:
- Iterative and multiscale XRF data collection.
- Focused ion beam (FIB) sample preparation for targeted region removal.
- Precise sample manipulation for improved XRF signal acquisition.
Main Results:
- The workflow successfully expanded the experimental window for nanoscale tomographic analysis.
- Obstructions were removed using FIB, significantly improving nanoscale tomography.
- Enabled detailed subcellular analysis of nanocomposite-cell interactions.
Conclusions:
- The developed multiscale XRF tomography workflow enhances bio-nanotechnology research.
- Provides deep insights into nanocomposite-cell interactions at subcellular levels.
- Facilitates statistical assessments from population-level measurements.
