کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5427077 1508615 2017 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Spectral solution of the inverse Mie problem
ترجمه فارسی عنوان
حل طیفی مشکل معکوس معضل
کلمات کلیدی
پراکندگی نور، مشکل معکوس تئوری م طیف فوریه، خصوصیات تک ذرات،
موضوعات مرتبط
مهندسی و علوم پایه شیمی طیف سنجی
چکیده انگلیسی


- Fast method to characterize single spheres in flow from light scattering patterns.
- Based on peak position and zero-frequency amplitude of power spectrum.
- Solution is unique in a limited range of refractive indices.
- Method is robust with respect to distortions of spherical shape in experiments.
- Provides framework to construct inverse algorithms for other experimental signals.

We developed a fast method to determine size and refractive index of homogeneous spheres from the power Fourier spectrum of their light-scattering patterns (LSPs), measured with the scanning flow cytometer. Specifically, we used two spectral parameters: the location of the non-zero peak and zero-frequency amplitude, and numerically inverted the map from the space of particle characteristics (size and refractive index) to the space of spectral parameters. The latter parameters can be reliably resolved only for particle size parameter greater than 11, and the inversion is unique only in the limited range of refractive index with upper limit between 1.1 and 1.25 (relative to the medium) depending on the size parameter and particular definition of uniqueness. The developed method was tested on two experimental samples, milk fat globules and spherized red blood cells, and resulted in accuracy not worse than the reference method based on the least-square fit of the LSP with the Mie theory. Moreover, for particles with significant deviation from the spherical shape the spectral method was much closer to the Mie-fit result than the estimated uncertainty of the latter. The spectral method also showed adequate results for synthetic LSPs of spheroids with aspect ratios up to 1.4. Overall, we present a general framework, which can be used to construct an inverse algorithm for any other experimental signals.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer - Volume 200, October 2017, Pages 280-294
نویسندگان
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