A lens-free on-chip microscopy algorithm for submicron pixel size image sensor

Author

Hui Liu ; Dong Wu ; Nan Xie ; Cencen Gao

Author_Institution

Inst. of Microelectron., Tsinghua Univ., Beijing, China

fYear

2014

fDate

27-29 June 2014

Firstpage

657

Lastpage

660

Abstract

Lens-free on-chip microscopy has many advantages compared with lens-based microscopy such as lightweight of hardware, low cost and improved resolution etc. A microscopy algorithm is proposed in this paper and its merits include high resolution, strong robustness, insensitivity to initial state of the object. Theories related to diffraction are introduced as the premise. 2D log-Gabor filters with different scales and orientations are constructed to extract the features of the captured photo. The reconstructed photo is determined by the extracted features and theoretical calculation. The algorithm is verified with 0.95×0.95 μm² pixel size image sensor. The experimental results illustrate the effectiveness and high resolution of this algorithm.

Keywords

Gabor filters; feature extraction; image reconstruction; image sensors; light diffraction; optical microscopy; 2D log-Gabor filter; diffraction theory; feature extraction; lens-free on-chip microscopy algorithm; submicron pixel size image sensor; Diffraction; Filtering algorithms; Filtering theory; Gabor filters; Image sensors; Microscopy; System-on-chip; 2D log-gabor filter; diffraction; image reconstruction; on-chip microscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on

Conference_Location

Beijing

ISSN

2327-0586

Print_ISBN

978-1-4799-3278-8

Type

conf

DOI

10.1109/ICSESS.2014.6933654

Filename

6933654