Abstract
| Language | English |
|---|---|
| Article number | 44608 |
| Pages | 1-11 |
| Number of pages | 11 |
| Journal | Scientific Reports |
| Volume | 7 |
| DOIs | |
| Publication status | Published - 17 Mar 2017 |
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Keywords
- Time Stretch Imaging
- Pixel Super Resolution
- Imaging
- FPGA
- High-speed optical imaging
- Image Reconstruction pipeline
- Imaging flow cytometry
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All-passive pixel super-resolution of time-stretch imaging. / Chan, Antony C. S. ; Ng, Ho-Cheung; B, Sharat Chandra Varma; So, Hayden Kwok-Hay; Lam, Edmund Y; Tsia, Kevin K.
In: Scientific Reports, Vol. 7, 44608 , 17.03.2017, p. 1-11.Research output: Contribution to journal › Article
TY - JOUR
T1 - All-passive pixel super-resolution of time-stretch imaging
AU - Chan, Antony C. S.
AU - Ng, Ho-Cheung
AU - B, Sharat Chandra Varma
AU - So, Hayden Kwok-Hay
AU - Lam, Edmund Y
AU - Tsia, Kevin K
N1 - Author was not at UK HEI at time of submission (exception added), but article is also Open Access
PY - 2017/3/17
Y1 - 2017/3/17
N2 - Based on image encoding in a serial-temporal format, optical time-stretch imaging entails a stringent requirement of state-of-the-art fast data acquisition unit in order to preserve high image resolution at an ultrahigh frame rate — hampering the widespread utilities of such technology. Here, we propose a pixel super-resolution (pixel-SR) technique tailored for time-stretch imaging that preserves pixel resolution at a relaxed sampling rate. It harnesses the subpixel shifts between image frames inherently introduced by asynchronous digital sampling of the continuous time-stretch imaging process. Precise pixel registration is thus accomplished without any active opto-mechanical subpixel-shift control or other additional hardware. Here, we present the experimental pixel-SR image reconstruction pipeline that restores high-resolution time-stretch images of microparticles and biological cells (phytoplankton) at a relaxed sampling rate (≈2–5 GSa/s)—more than four times lower than the originally required readout rate (20 GSa/s) — is thus effective for high-throughput label-free, morphology-based cellular classification down to single-cell precision. Upon integration with the high-throughput image processing technology, this pixel-SR time-stretch imaging technique represents a cost-effective and practical solution for large scale cell-based phenotypic screening in biomedical diagnosis and machine vision for quality control in manufacturing.
AB - Based on image encoding in a serial-temporal format, optical time-stretch imaging entails a stringent requirement of state-of-the-art fast data acquisition unit in order to preserve high image resolution at an ultrahigh frame rate — hampering the widespread utilities of such technology. Here, we propose a pixel super-resolution (pixel-SR) technique tailored for time-stretch imaging that preserves pixel resolution at a relaxed sampling rate. It harnesses the subpixel shifts between image frames inherently introduced by asynchronous digital sampling of the continuous time-stretch imaging process. Precise pixel registration is thus accomplished without any active opto-mechanical subpixel-shift control or other additional hardware. Here, we present the experimental pixel-SR image reconstruction pipeline that restores high-resolution time-stretch images of microparticles and biological cells (phytoplankton) at a relaxed sampling rate (≈2–5 GSa/s)—more than four times lower than the originally required readout rate (20 GSa/s) — is thus effective for high-throughput label-free, morphology-based cellular classification down to single-cell precision. Upon integration with the high-throughput image processing technology, this pixel-SR time-stretch imaging technique represents a cost-effective and practical solution for large scale cell-based phenotypic screening in biomedical diagnosis and machine vision for quality control in manufacturing.
KW - Time Stretch Imaging
KW - Pixel Super Resolution
KW - Imaging
KW - FPGA
KW - High-speed optical imaging
KW - Image Reconstruction pipeline
KW - Imaging flow cytometry
UR - https://pure.ulster.ac.uk/en/publications/all-passive-pixel-super-resolution-of-time-stretch-imaging
U2 - 10.1038/srep44608
DO - 10.1038/srep44608
M3 - Article
VL - 7
SP - 1
EP - 11
JO - Scientific Reports
T2 - Scientific Reports
JF - Scientific Reports
SN - 2045-2322
M1 - 44608
ER -