Label-free direct detection and sizing of single proteins and bioparticles

Label-free direct detection and sizing of single proteins and bioparticles

Formal & Physical Sciences Physics PHVApplied physicsPHVNBiophysics
🎙 Prof. Vahid Sandoghdar 👥 2K 📅 December 19, 2023 ⏱ 52 min 👁 198 📄 expert opinion 🧭 2026-08-18
Available in: English (current) Français

Keywords

iSCATsingle proteinnanoparticlemass photometrylabel-free

Summary

In this plenary talk, Prof. Vahid Sandoghdar presents an overview of interferometric scattering (iSCAT) microscopy, a label-free technique for detecting and sizing single proteins and bioparticles. He begins by explaining the fundamental physics of light scattering and interference, emphasizing that even a single molecule can be detected via extinction. He traces the evolution of iSCAT from early experiments with gold nanoparticles to the detection of single viruses and proteins. Key achievements include the demonstration that iSCAT contrast scales linearly with protein mass, enabling mass photometry, and the use of machine learning to push sensitivity below 10 kDa. He also discusses applications in studying secretion from live cells and the interferometric nanoparticle tracking analysis (iNTA) for sizing extracellular vesicles. The talk concludes with recent results on label-free imaging of live cells, revealing structures like microtubules without fluorescence.

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Critical Evaluation

Value of the Information & Strength of the Argument

The talk provides high value by consolidating two decades of research into a coherent narrative, explaining the underlying physics clearly. The argumentation is strong, supported by experimental data and published results. Sandoghdar effectively demonstrates the advantages of iSCAT over traditional methods like dark-field microscopy, highlighting its sensitivity and quantitative capabilities. He also addresses potential limitations, such as speckle noise, and presents solutions like background subtraction and machine learning. The logical progression from basic principles to advanced applications makes the argument compelling.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high, as the speaker references multiple peer-reviewed publications from his group and others, including work on mass photometry by Kukura’s group. The sources are credible and directly relevant. The title accurately reflects the content, focusing on label-free detection and sizing. The talk is well-structured, with clear explanations and visual aids. No comments were provided, so no analysis of public reception is included.

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Title / Content Match

The title accurately reflects the content, focusing on label-free detection and sizing of single proteins and bioparticles using interferometric scattering microscopy.

Quality & Reliability

9/10

The talk is delivered by a leading expert in nano-optics, presenting peer-reviewed research from his group, with clear explanations of underlying physics and references to published work.

Key Moments

Cited Sources

  • Label-free detection of single proteins using interferometric scattering microscopy — Discussed in the context of single protein detection and mass photometry.
  • Interferometric scattering microscopy for the study of molecular motors — Referenced as an example of iSCAT applications.
  • Mass photometry: a powerful tool for studying biomolecular interactions — Mentioned in relation to the development of mass photometry.

Concurring Sources

  • Mass photometry of biomolecular complexes — Supports the linear relationship between iSCAT contrast and mass.
  • Interferometric scattering microscopy for label-free detection of nanoparticles — Confirms the sensitivity of iSCAT for detecting small nanoparticles.

Contribution & Novelties

The talk provides a comprehensive overview of iSCAT microscopy, highlighting its evolution from fundamental physics to practical applications. The original contribution lies in the demonstration that iSCAT can detect single proteins and bioparticles label-free, with sensitivity down to sub-10 kDa using machine learning. The talk also introduces iNTA as an improved method for sizing nanoparticles. The presentation emphasizes the importance of understanding signal-to-noise limits for advancing the field.

Pour aller plus loin :

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Radar Profile

The radar profile shows high scores in quality and reliability, with slightly lower but still strong scores in quantity and technical level. This indicates a well-balanced presentation that is both informative and scientifically sound, suitable for an expert audience.

Reliability 9/10