4.8 Article

Precise Nanosizing with High Dynamic Range Holography

期刊

NANO LETTERS
卷 21, 期 1, 页码 317-322

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.0c03699

关键词

holography; extracellular vesicles; label-free; interferometric microscopy; Fourier imaging

资金

  1. Ministry of Science, Innovation, and Universities [MCIU/AEI: RTI2018-099957-JI00, PGC2018-096875-B-I00]
  2. European Commission (ERC) [670949-LightNet, 755196-IBIS]
  3. Ministry of Science & Innovations (Severo Ochoa program for Centers of Excellence in RD) [CEX2019-000910-S]
  4. Catalan AGAUR, Fundacio [2017SGR1369]
  5. Privada Cellex, Fundacio
  6. Privada Mir-Puig
  7. Generalitat de Catalunya through the CERCA program
  8. NVIDIA Corporation Titan Xp GPU grant
  9. NIH [R01CA229777, U01CA233360, R21DA049577]
  10. DoD [W81XWH-19-1-0199, W81XWH-19-1-0194]

向作者/读者索取更多资源

This study introduces a new off-axis k-space holography method that significantly boosts the achievable dynamic range to up to 110 dB by imaging the back-focal plane of a microscope to project the scattering signal of all particles onto all camera pixels. Validation of the platform with detection and quantitative sizing of metallic and dielectric particles demonstrates its effectiveness, along with the ability to correctly size particles made from different materials through independent signal calibrations.
Optical sensing is one of the key enablers of modern diagnostics. Especially label-free imaging modalities hold great promise as they eliminate labeling procedures prior to analysis. However, scattering signals of nanometric particles scale with their volume square. This unfavorable scaling makes it extremely difficult to quantitatively characterize intrinsically heterogeneous clinical samples, such as extracellular vesicles, as their signal variation easily exceeds the dynamic range of currently available cameras. Here, we introduce off-axis k-space holography that circumvents this limitation. By imaging the back-focal plane of our microscope, we project the scattering signal of all particles onto all camera pixels, thus dramatically boosting the achievable dynamic range to up to 110 dB. We validate our platform by detecting and quantitatively sizing metallic and dielectric particles over a 200 x 200 mu m field of view and demonstrate that independently performed signal calibrations allow correctly sizing particles made from different materials. Finally, we present quantitative size distributions of extracellular vesicle samples.

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