Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Emrah Bostan"'
Autor:
Pascal D Odermatt, Teemu P Miettinen, Joël Lemière, Joon Ho Kang, Emrah Bostan, Scott R Manalis, Kerwyn Casey Huang, Fred Chang
Publikováno v:
eLife, Vol 10 (2021)
Intracellular density impacts the physical nature of the cytoplasm and can globally affect cellular processes, yet density regulation remains poorly understood. Here, using a new quantitative phase imaging method, we determined that dry-mass density
Externí odkaz:
https://doaj.org/article/805e3887740b465cacc02c0671d8b0d7
Conventional image reconstruction models for lensless cameras often assume that each measurement results from convolving a given scene with a single experimentally measured point-spread function. These image reconstruction models fall short in simula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e900edbd7b499578fe9bacc75204034
http://arxiv.org/abs/2203.04353
http://arxiv.org/abs/2203.04353
Autor:
Emrah Bostan, Kevin Zhang, Michael Kellman, Michael Lustig, Eric Markley, Jon Tamir, Laura Waller
Publikováno v:
IEEE Transactions on Computational Imaging. 6:1403-1414
Critical aspects of computational imaging systems, such as experimental design and image priors, can be optimized through deep networks formed by the unrolled iterations of classical physics-based reconstructions. Termed physics-based networks, they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aff07e26193911024bc8cb2845c53a77
https://doi.org/10.1109/tci.2020.3025735
https://doi.org/10.1109/tci.2020.3025735
Autor:
Emrah Bostan, Fred Chang, Joël Lemière, Joon Ho Kang, Teemu P. Miettinen, Pascal D. Odermatt, Scott R. Manalis, Kerwyn Casey Huang
Publikováno v:
eLife, Vol 10 (2021)
eLife
eLife
Intracellular density impacts the physical nature of the cytoplasm and can globally affect cellular processes, yet density regulation remains poorly understood. Here, using a new quantitative phase imaging method, we determined that dry-mass density
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b932da5ff223625ca8cdf30cafa568c
https://elifesciences.org/articles/64901
https://elifesciences.org/articles/64901
Publikováno v:
IEEE Transactions on Computational Imaging. 5:344-353
Coded illumination can enable quantitative phase microscopy of transparent samples with minimal hardware requirements. Intensity images are captured with different source patterns, then a nonlinear phase retrieval optimization reconstructs the image.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5976414f7e0935018f47dea32cf30d0
https://doi.org/10.1109/tci.2019.2905434
https://doi.org/10.1109/tci.2019.2905434
Publikováno v:
Quantitative Phase Imaging VII.
Phase retrieval methods have been proposed to recover phase from through-focus intensity images measured on a microscope. It requires measuring the defocus distances of intensity images, usually by a z-axis translation stage. However, it complicates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c068214514bbd1559550093c046d6877
https://doi.org/10.1117/12.2575823
https://doi.org/10.1117/12.2575823
Autor:
Pascal D. Odermatt, Teemu P. Miettinen, Joon Ho Kang, Emrah Bostan, Scott Manalis, Kerwyn Casey Huang, Fred Chang
Intracellular density is a critical parameter that impacts the physical nature of the cytoplasm and has the potential to globally affect cellular processes. How density is regulated during cell growth is poorly understood. Here, using a new quantitat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc8cd8d646f91829b3756ec8cd33fd33
https://doi.org/10.1101/2020.10.21.349696
https://doi.org/10.1101/2020.10.21.349696
Publikováno v:
Quantitative Phase Imaging VI.
Computational illumination microscopy has enabled imaging of a sample’s phase, spatial features beyond the diffraction limit (Fourier Ptychography), and 3D refractive index from intensity-based measurements captured on an LED array microscope. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58206b06406d9a27b7e74734b3cc7777
https://doi.org/10.1117/12.2544345
https://doi.org/10.1117/12.2544345
Publikováno v:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVII.
The goal of this work is to incorporate Convolutional Neural Networks (CNNs) into the 3D deconvolution process without training. CNNs are well suited to the problem of 2D deconvolution, however training a CNN on 3D volumes requires excessive time and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d4be9f3eb3c7d25a91a93009eb744cd
https://doi.org/10.1117/12.2545041
https://doi.org/10.1117/12.2545041