E
Emrah Bostan
Researcher at University of California, Berkeley
Publications - 52
Citations - 1512
Emrah Bostan is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Phase retrieval & Wavelet. The author has an hindex of 15, co-authored 51 publications receiving 1038 citations. Previous affiliations of Emrah Bostan include University of Amsterdam & École Polytechnique Fédérale de Lausanne.
Papers
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DiffuserCam: lensless single-exposure 3D imaging
TL;DR: In this article, a diffuser placed in front of an image sensor is used for single-shot 3D imaging, which exploits sparsity in the sample to solve for more 3D voxels than pixels on the 2D sensor.
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Physics-Based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging
TL;DR: This paper proposes a new data-driven approach for optimizing coded-illumination patterns for an LED array microscope for a given phase reconstruction algorithm that incorporates both the physics of the measurement scheme and the nonlinearity of the reconstruction algorithm into the design problem.
Journal ArticleDOI
Combined multi-plane phase retrieval and super-resolution optical fluctuation imaging for 4D cell microscopy.
Adrien Descloux,Kristin S. Grussmayer,Emrah Bostan,Emrah Bostan,Tomas Lukes,Arno Bouwens,Azat Sharipov,Stefan Geissbuehler,A. L. Mahul-Mellier,Hilal A. Lashuel,Marcel Leutenegger,Theo Lasser +11 more
TL;DR: In this article, a combination of a label-free white light quantitative phase imaging with fluorescence to provide high-speed imaging and spatial super-resolution was proposed for cellular and subcellular structures.
Journal ArticleDOI
Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network
TL;DR: In this article, an untrained deep neural network was used for measurement formation, encapsulating the image prior and the system physics, and simultaneously reconstructing the phase and pupil-plane aberrations by fitting the weights of the network to the captured images.
Posted Content
DiffuserCam: Lensless Single-exposure 3D Imaging
TL;DR: A compact and easy-to-build computational camera for single-shot 3D imaging that solves the large-scale inverse problem in a computationally efficient way and provides new theory for analyzing resolution in such systems.