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Pariksheet Nanda

Researcher at University of Connecticut

Publications -  11
Citations -  763

Pariksheet Nanda is an academic researcher from University of Connecticut. The author has contributed to research in topics: Ptychography & Fourier transform. The author has an hindex of 8, co-authored 11 publications receiving 686 citations.

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Spectral multiplexing and coherent-state decomposition in Fourier ptychographic imaging

TL;DR: The state-multiplexed FP recovery routine can decompose the incoherent mixture of the FP acquisitions to recover a high-resolution sample image and may provide a solution for handling the partially coherent effect of light sources used in Fourier ptychographic imaging platforms.
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High-resolution fluorescence imaging via pattern-illuminated Fourier ptychography

TL;DR: The report reports an imaging approach, termed pattern-illuminated Fourier ptychography (FP), for fluorescence imaging beyond the diffraction limit of the employed optics, which is able to recover both the high-resolution sample image and the unknown illumination pattern at the same time.
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Optimization of sampling pattern and the design of Fourier ptychographic illuminator.

TL;DR: An illuminator is designed and built using LEDs mounted on a 3D-printed plastic case and it reduces the number of image acquisitions by at least 50% and departs from the translational symmetry of sampling to solve the raster grid artifact problem.
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FPscope: a field-portable high-resolution microscope using a cellphone lens

TL;DR: This work reports a 3D-printed high-resolution Fourier ptychographic microscope, termed FPscope, which uses a cellphone lens in a reverse manner, and shows that the depth-of-focus of the reported platform is about 0.1 mm, orders of magnitude longer than that of a conventional microscope objective with a similar NA.
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Spectrum multiplexing and coherent-state decomposition in Fourier ptychographic imaging

TL;DR: In this article, a state-multiplexed Fourier ptychography (FP) was proposed for information multiplexing and coherent-state decomposition, where an array of light sources were used to illuminate the sample from different incident angles and acquire corresponding low-resolution images using a monochromatic camera.