Ms. Hasti Shabani Profile

Hasti Shabani

at Univ of Memphis

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Publications (6)

Proceedings Article | 23 February 2018 Paper

Preprocessing method to correct illumination pattern in sinusoidal-based structured illumination microscopy

H. Shabani, A. Doblas, G. Saavedra, C. Preza

Proceedings Volume 10499, 104991Z (2018) https://doi.org/10.1117/12.2291013

KEYWORDS: Modulation, Microscopy, Diffraction, Fourier transforms, Linear filtering, 3D image processing, 3D image reconstruction

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Proceedings Article | 23 February 2018 Paper

3D structured illumination microscopy using an incoherent illumination system based on a Fresnel biprism

H. Shabani, A. Doblas, G. Saavedra, C. Preza

Proceedings Volume 10499, 1049903 (2018) https://doi.org/10.1117/12.2290821

KEYWORDS: Modulation, 3D image processing, Microscopy, 3D image enhancement, Imaging systems, Resolution enhancement technologies, Computer simulations

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Proceedings Article | 17 February 2017 Paper

Comparison of 3D structured patterns with tunable frequency for use in structured illumination microscopy

Ana Doblas, Hasti Shabani, Genaro Saavedra, Chrysanthe Preza

Proceedings Volume 10070, 100700H (2017) https://doi.org/10.1117/12.2252109

KEYWORDS: Microscopy, Prisms, Diffraction, Spatial frequencies, Wave propagation interference, Modulation, Visibility, Francium, Microscopes, Fringe analysis

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Proceedings Article | 17 February 2017 Paper

Comparison of two structured illumination techniques based on different 3D illumination patterns

H. Shabani, N. Patwary, A. Doblas, G. Saavedra, C. Preza

Proceedings Volume 10070, 1007013 (2017) https://doi.org/10.1117/12.2253199

KEYWORDS: 3D acquisition, Modulation, 3D modeling, Microscopy, Super resolution, Resolution enhancement technologies, Image restoration, 3D image reconstruction, Optical transfer functions, Imaging systems, 3D image processing, Lawrencium, Filtering (signal processing)

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Proceedings Article | 17 February 2017 Paper

Implementation of an incoherent 3D patterned illumination design in a structured illumination microscope

S. King, C. Taylor, A. Doblas, H. Shabani, N. Patwary, G. Saavedra, C. Preza

Proceedings Volume 10070, 1007004 (2017) https://doi.org/10.1117/12.2252910

KEYWORDS: Microscopy, Microscopes, Imaging systems, Luminescence, Prisms, Structural design, 3D image processing, Prototyping, Spatial frequencies, Numerical simulations, Modulation, Objectives, Fringe analysis, Relays, Super resolution, 3D metrology

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Proceedings Article | 9 March 2016 Presentation + Paper

Investigating the performance of reconstruction methods used in structured illumination microscopy as a function of the illumination pattern's modulation frequency

H. Shabani, E. Sánchez-Ortiga, C. Preza

Proceedings Volume 9713, 971305 (2016) https://doi.org/10.1117/12.2213411

KEYWORDS: 3D image reconstruction, Microscopy, Modulation, Optical microscopy, Diffraction, Model-based design, Image analysis, Super resolution, Image resolution, Optical resolution, 3D image processing, Optical transfer functions, 3D modeling, Lawrencium, Imaging systems

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Surpassing the resolution of optical microscopy defined by the Abbe diffraction limit, while simultaneously achieving optical sectioning, is a challenging problem particularly for live cell imaging of thick samples. Among a few developing techniques, structured illumination microscopy (SIM) addresses this challenge by imposing higher frequency information into the observable frequency band confined by the optical transfer function (OTF) of a conventional microscope either doubling the spatial resolution or filling the missing cone based on the spatial frequency of the pattern when the patterned illumination is two-dimensional. Standard reconstruction methods for SIM decompose the low and high frequency components from the recorded low-resolution images and then combine them to reach a high-resolution image. In contrast, model-based approaches rely on iterative optimization approaches to minimize the error between estimated and forward images. In this paper, we study the performance of both groups of methods by simulating fluorescence microscopy images from different type of objects (ranging from simulated two-point sources to extended objects). These simulations are used to investigate the methods' effectiveness on restoring objects with various types of power spectrum when modulation frequency of the patterned illumination is changing from zero to the incoherent cut-off frequency of the imaging system. Our results show that increasing the amount of imposed information by using a higher modulation frequency of the illumination pattern does not always yield a better restoration performance, which was found to be depended on the underlying object. Results from model-based restoration show performance improvement, quantified by an up to 62% drop in the mean square error compared to standard reconstruction, with increasing modulation frequency. However, we found cases for which results obtained with standard reconstruction methods do not always follow the same trend.

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