Subsampled phase retrieval for temporal resolution enhancement in lensless on-chip holographic video.
Subsampled phase retrieval for temporal resolution enhancement in lensless on-chip holographic video.
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DOI：
10.1364/boe.8.001981
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发表时间：
2017-03
影响因子：
3.4
通讯作者：
DongHun Ryu;Zihao W. Wang;K. He;G. Zheng;R. Horstmeyer;O. Cossairt
中科院分区：
文献类型：
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作者：
DongHun Ryu;Zihao W. Wang;K. He;G. Zheng;R. Horstmeyer;O. Cossairt
片上全息视频是一种方便的方法，以高空间分辨率和宽视场同时监测生物样品。然而，由于数字检测器阵列的有限读出速率，人们经常面临每帧像素计数和所捕获视频的帧速率之间的权衡。在这份报告中，我们提出了一个子采样相位恢复（SPR）算法，以克服在全息视频的时空权衡。与传统的相位恢复方法相比，我们的SPR算法使用了一个数量级的像素测量，同时保持适当的重建质量。我们使用一个芯片上的全息视频设置与像素子采样实验证明了5.5的传感器帧速率的增加，同时监测Peranema微生物的体内运动的一个因素。
On-chip holographic video is a convenient way to monitor biological samples simultaneously at high spatial resolution and over a wide field-of-view. However, due to the limited readout rate of digital detector arrays, one often faces a tradeoff between the per-frame pixel count and frame rate of the captured video. In this report, we propose a subsampled phase retrieval (SPR) algorithm to overcome the spatial-temporal trade-off in holographic video. Compared to traditional phase retrieval approaches, our SPR algorithm uses over an order of magnitude less pixel measurements while maintaining suitable reconstruction quality. We use an on-chip holographic video setup with pixel sub-sampling to experimentally demonstrate a factor of 5.5 increase in sensor frame rate while monitoring the in vivo movement of Peranema microorganisms.