Interferometric Nanoparticle Tracking Analysis

iNTApharma Nanoparticle Analyzer

Bruker’s interferometric nanoparticle tracking analyzer (iNTA) enables label-free characterization of nanoscale bioparticles, providing critical quality control parameters such as size, concentration, and composition. It delivers unprecedented size resolution and allows label-free discrimination of distinct bioparticle subpopulations.

A direct path to bioparticle size, concentration, and composition

iNTApharma provides fast, label‑free nanoparticle characterization for teams working on gene and cell therapy vectors, extracellular vesicles, and next‑generation delivery systems—offering immediate insights into critical quality attributes (CQAs) across AdV, EV, LNP, and more.

What you get with iNTApharma nanoparticle characterization

Enhanced Data Depth

  • More than Counting: Quantify and classify subpopulations label-free.
  • iNTA Precision: Resolve complex samples in unprecedented resolution.

Increased Workflow Efficiency

  • High Throughput: Integrated 18-well plate reader for long-run autonomy.
  • Hands-Off Operation: No manual sample changes or cleaning flushes.

Sample Conservation

  • Low Volume Requirement: Full analysis using only 50–100 µL.
  • Precious Sample: Minimize waste of high-value or limited materials.

Operational Flexibility

  • Smarter Handling: Load and seal 18-well-plates in biosafety cabinet.
  • Benchtop Convenience: Bring sealed sample to instrument outside.
Bruker's iNTA nanoparticle analyzer.

Applications of iNTA

Label-Free Discrimination of Extracellular Vesicles (EV)

This application note details how Interferometric Nanoparticle Tracking Analysis (iNTA) provides high-resolution, label-free quality control for adenoviral vectors (AdV). It is essential for researchers needing to distinguish intact viruses from contaminants or empty capsids, a task challenging for conventional methods like DLS or NTA.

Quality Assessment of Adenoviral Vectors

This application note highlights how Interferometric Nanoparticle Tracking Analysis (iNTA) achieves label-free discrimination of extracellular vesicles (EVs) from co-isolates like lipoproteins in complex biological fluids. It is a vital read for researchers seeking to bypass the limitations of traditional size-based separation and fluorescence labeling.

Recent Publications

Employing interferometric nanoparticle tracking analysis (iNTA) to enable high‑precision, non‑invasive measurement of size and refractive index distributions in weakly scattering nanoparticles within complex and polydisperse liquid samples.

Learn more here:

Precision size and refractive index analysis of weakly scattering nanoparticles in polydispersions

Kashkanova, A. D., Blessing, M., Gemeinhardt, A., Soulat, D., Sandoghdar, V.

Nature Methods, 19(5), 586–593, 2022

Employing interferometric nanoparticle tracking analysis (iNTA) to enable quantitative, calibration‑free measurements of nanoparticle concentrations in complex and polydisperse liquid mixtures.

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Measuring Concentration of Nanoparticles in Polydisperse Mixtures Using iNTA

Kashkanova, A. D., Albrecht, D., Küppers, M., Blessing, M., Sandoghdar, V.

ACS Nano, published online July 9, 2024

Applying interferometric nanoparticle tracking analysis (iNTA) for label‑free differentiation and accurate quantification of extracellular vesicles in complex biological samples containing large lipoproteins.

Learn more here:

Label‑free discrimination of extracellular vesicles from large lipoproteins

Kashkanova, A. D., Blessing, M., Reischke, M., Baur, J.-O., Baur, A. S., Sandoghdar, V., Van Deun, J.

Journal of Extracellular Vesicles, 12(8), 2023

Employing high‑resolution interferometric nanoparticle tracking analysis to investigate how freezing‑induced accelerated ageing enhances the homogeneity, stability, and reproducibility of red blood cell‑derived extracellular vesicles for biomaterial applications.

Learn more here:

Red blood cell‑derived extracellular vesicles as biomaterials: the opportunity of freezing‑induced accelerated aging

Paolini, L., Romano, M., Mangolini, V., Tassoni, S., Jiang, S., Mazzoldi, E. L., Musicò, A., Zendrini, A., Kashkanova, A., Sandoghdar, V., Berardi, A. C., Giliani, S. C., Bergese, P., Radeghieri, A.

Biomaterials Science, 14, 122–139, 2026

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