scholarly journals Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy

Author(s):  
Alan Q. Wang ◽  
Aaron K. LaViolette ◽  
Leo Moon ◽  
Chris Xu ◽  
Mert R. Sabuncu
Author(s):  
Gianmaria Calisesi ◽  
Alberto Ghezzi ◽  
Daniele Ancora ◽  
Cosimo D'Andrea ◽  
Gianluca Valentini ◽  
...  

2012 ◽  
Author(s):  
Vincent Studer ◽  
Jérome Bobin ◽  
Makhlad Chahid ◽  
Hamed Mousavi ◽  
Emmanuel Candes ◽  
...  

Author(s):  
Kyrollos Yanny ◽  
Nick Antipa ◽  
William Liberti ◽  
Sam Dehaeck ◽  
Kristina Monakhova ◽  
...  

2017 ◽  
Vol 25 (12) ◽  
pp. 13668 ◽  
Author(s):  
Maxime Woringer ◽  
Xavier Darzacq ◽  
Christophe Zimmer ◽  
Mustafa Mir

2018 ◽  
Vol 69 (4) ◽  
pp. 326-328
Author(s):  
Cheng Ping ◽  
Zhao Jiaqun

Abstract To solve the off grid problem in compressed sensing (CS) based inverse synthetic aperture radar (ISAR) imaging, a fast and accurate algorithm has been proposed in the paper. By jointly estimating the off grid error and the sparse solution, off grid ISAR imaging is transformed into a joint optimization problem. Interestingly, it can be solved efficiently through two least squares problems based on first order Taylor approximation. When applied to complex sinusoids and quasi real ISAR data, the proposed algorithm has got better results than the conventional algorithm. Therefore, it is a promising off grid CS based ISAR imaging algorithm.


2020 ◽  
Vol 208 (1) ◽  
pp. 194-205
Author(s):  
Jiqiang Luo ◽  
Tingfa Xu ◽  
Teng Pan ◽  
Xiaolin Han ◽  
Weidong Sun

2017 ◽  
Author(s):  
Maxime Woringer ◽  
Xavier Darzacq ◽  
Christophe Zimmer ◽  
Mustafa Mir

AbstractThree-dimensional fluorescence microscopy based on Nyquist sampling of focal planes faces harsh trade-offs between acquisition time, light exposure, and signal-to-noise. We propose a 3D compressed sensing approach that uses temporal modulation of the excitation intensity during axial stage sweeping and can be adapted to fluorescence microscopes without hardware modification. We describe implementations on a lattice light sheet microscope and an epifluorescence microscope, and show that images of beads and biological samples can be reconstructed with a 5-10 fold reduction of light exposure and acquisition time. Our scheme opens a new door towards faster and less damaging 3D fluorescence microscopy.OCIS codes: (110.1758) Computational imaging; (170.2520) Fluorescence microscopy; (170.6900) Three-dimensional microscopy.


Author(s):  
K. Jacobson ◽  
A. Ishihara ◽  
B. Holifield ◽  
F. Zhang

Our laboratory is concerned with understanding the dynamic structure of the plasma membrane with particular reference to the movement of membrane constituents during cell locomotion. In addition to the standard tools of molecular cell biology, we employ both fluorescence recovery after photo- bleaching (FRAP) and digitized fluorescence microscopy (DFM) to investigate individual cells. FRAP allows the measurement of translational mobility of membrane and cytoplasmic molecules in small regions of single, living cells. DFM is really a new form of light microscopy in that the distribution of individual classes of ions, molecules, and macromolecules can be followed in single, living cells. By employing fluorescent antibodies to defined antigens or fluorescent analogs of cellular constituents as well as ultrasensitive, electronic image detectors and video image averaging to improve signal to noise, fluorescent images of living cells can be acquired over an extended period without significant fading and loss of cell viability.


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