DocumentCode :
3601922
Title :
A Single-Frame Superresolution Algorithm for Lab-on-a-Chip Lensless Microfluidic Imaging
Author :
Xiwei Huang ; Hao Yu ; Xu Liu ; Yu Jiang ; Mei Yan
Author_Institution :
Hangzhou Dianzi Univ., Hangzhou, China
Volume :
32
Issue :
6
fYear :
2015
Firstpage :
32
Lastpage :
40
Abstract :
This work presents two single-frame lensless microfluidic imaging systems with superresolution algorithms: one is interpolation-based method and the other one is machine-learning-based method. Both methods have shown great potential for on-chip implementation for cell detection with balanced resolution and throughput.
Keywords :
bioMEMS; cellular biophysics; image resolution; interpolation; lab-on-a-chip; learning (artificial intelligence); medical image processing; microfluidics; cell detection; interpolation-based method; lab-on-a-chip lensless microfluidic imaging systems; machine-learning-based method; single-frame lensless microfluidic imaging systems; single-frame superresolution algorithm; Computer architecture; Imaging; Microfluidics; Signal resolution; Spatial resolution; System-on-chip; Extreme learning machine; interpolation; lensless microfluidic imaging; single-frame super-resolution;
fLanguage :
English
Journal_Title :
Design Test, IEEE
Publisher :
ieee
ISSN :
2168-2356
Type :
jour
DOI :
10.1109/MDAT.2015.2424418
Filename :
7089225
Link To Document :
بازگشت