Computational imaging, sensing and diagnostics for global health applications

被引：34

作者：

Coskun, Ahmet F. ^{[1
,2
]}

Ozcan, Aydogan ^{[1
,2
,3
]}

机构：

[1] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA

[2] Univ Calif Los Angeles, Dept Bioengn, Los Angeles, CA 90095 USA

[3] Univ Calif Los Angeles, Calif NanoSyst Inst CNSI, Los Angeles, CA 90095 USA

来源：

CURRENT OPINION IN BIOTECHNOLOGY | 2014年 / 25卷

基金：

美国国家科学基金会;

关键词：

MICROSCOPY; RECONSTRUCTION; PLATFORM; BIOGAMES; OBJECT; POINT;

D O I：

10.1016/j.copbio.2013.08.008

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

In this review, we summarize some of the recent work in emerging computational imaging, sensing and diagnostics techniques, along with some of the complementary non-computational modalities that can potentially transform the delivery of health care globally. As computational resources are becoming more and more powerful, while also getting cheaper and more widely available, traditional imaging, sensing and diagnostic tools will continue to experience a revolution through simplification of their designs, making them compact, light-weight, cost-effective, and yet quite powerful in terms of their performance when compared to their bench-top counterparts.

引用

页码：8 / 16

页数：9

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