Wavelength scanning achieves pixel super-resolution in holographic on-chip microscopy

2016 ◽  
Author(s):  
Wei Luo ◽  
Zoltan Göröcs ◽  
Yibo Zhang ◽  
Alborz Feizi ◽  
Alon Greenbaum ◽  
...  
Lab on a Chip ◽  
2011 ◽  
Vol 11 (7) ◽  
pp. 1276 ◽  
Author(s):  
Waheb Bishara ◽  
Uzair Sikora ◽  
Onur Mudanyali ◽  
Ting-Wei Su ◽  
Oguzhan Yaglidere ◽  
...  

2019 ◽  
Vol 5 (3) ◽  
pp. 1900669 ◽  
Author(s):  
Daniel Havelka ◽  
Djamel Eddine Chafai ◽  
Ondrej Krivosudský ◽  
Anastasiya Klebanovych ◽  
František Vostárek ◽  
...  

2021 ◽  
Vol 9 ◽  
Author(s):  
Yumin Wu ◽  
Linpeng Lu ◽  
Jialin Zhang ◽  
Zhuoshi Li ◽  
Chao Zuo

In recent years, lensfree on-chip microscopy has developed into a promising and powerful computational optical microscopy technique that allows for wide-field, high-throughput microscopic imaging without using any lenses. However, due to the limited pixel size of the state-of-the-art image sensors, lens-free on-chip microscopy generally suffers from low imaging resolution, which is far from enough to meet the current demand for high-resolution microscopy. Many pixel super-resolution techniques have been developed to solve or at least partially solve this problem by acquiring a series of low-resolution holograms with multiple lateral sub-pixel shifting or axial distances. However, the prerequisite of these pixel super-resolution techniques is that the propagation distance of each low-resolution hologram can be obtained precisely, which faces two major challenges. On the one hand, the captured hologram is inherent pixelated and of low resolution, making it difficult to determine the focal plane by evaluating the image sharpness accurately. On the other hand, the twin-image is superimposed on the backpropagated raw hologram, further exacerbating the difficulties in accurate focal plane determination. In this study, we proposed a high-precision autofocusing algorithm for multi-height pixel-super-resolved lensfree on-chip microscopy. Our approach consists of two major steps: individual preliminary estimation and global precise estimation. First, an improved critical function that combines differential critical function and frequency domain critical function is proposed to obtain the preliminary focus distances of different holograms. Then, the precise focus distances can be determined by further evaluating the global offset of the averaged, low-noise reconstruction from all backpropagated holograms with preliminary focus distances. Simulations and experimental results verified the validity and effectiveness of the proposed algorithm.


SPIE Newsroom ◽  
2011 ◽  
Author(s):  
Serhan Isikman ◽  
Waheb Bishara ◽  
Uzair Sikora ◽  
Oguzhan Yaglidere ◽  
Aydogan Ozcan
Keyword(s):  

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Claudio Bruschini ◽  
Harald Homulle ◽  
Ivan Michel Antolovic ◽  
Samuel Burri ◽  
Edoardo Charbon

Abstract Single-photon avalanche diode (SPAD) arrays are solid-state detectors that offer imaging capabilities at the level of individual photons, with unparalleled photon counting and time-resolved performance. This fascinating technology has progressed at a very fast pace in the past 15 years, since its inception in standard CMOS technology in 2003. A host of architectures have been investigated, ranging from simpler implementations, based solely on off-chip data processing, to progressively “smarter” sensors including on-chip, or even pixel level, time-stamping and processing capabilities. As the technology has matured, a range of biophotonics applications have been explored, including (endoscopic) FLIM, (multibeam multiphoton) FLIM-FRET, SPIM-FCS, super-resolution microscopy, time-resolved Raman spectroscopy, NIROT and PET. We will review some representative sensors and their corresponding applications, including the most relevant challenges faced by chip designers and end-users. Finally, we will provide an outlook on the future of this fascinating technology.


2021 ◽  
Author(s):  
Xuejuan Wu ◽  
Jiasong Sun ◽  
Jialin Zhang ◽  
Linpeng Lu ◽  
Rong Chen ◽  
...  

2019 ◽  
Vol 29 (27) ◽  
pp. 1970188
Author(s):  
Chenlei Pang ◽  
Jingxi Li ◽  
Mingwei Tang ◽  
Jianpu Wang ◽  
Ioanna Mela ◽  
...  

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