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用于即时生物应用的宽视场无透镜和基于透镜的光学系统的设计、开发及性能比较

Design, Development, and Performance Comparison of Wide Field Lensless and Lens-Based Optical Systems for Point-of-Care Biological Applications.

作者信息

Fennell Robert D, Sher Mazhar, Asghar Waseem

机构信息

Asghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, Florida 33431.

Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida 33431.

出版信息

Opt Lasers Eng. 2021 Feb;137. doi: 10.1016/j.optlaseng.2020.106326. Epub 2020 Aug 16.

Abstract

Lensless biological imaging systems are an emerging alternative to conventional microscopic systems because they enable a wide field of view imaging. While most microscopic systems sacrifice the field of view for magnification, lensless systems have taken advantage of small imaging pixel size, projection, digital magnification, and post-processing to compensate for diffracted images. A new lens-based system is designed to have the exact same wide field of view as that of a basic lensless setup. A new compound lens system design is utilized to achieve an explicit aim to have the same fields of view as the lensless setup. Then the characteristics of these two optical imaging setups (lensless and lens-based setups) are compared at this level of complexity to see what the minimal systems principles are needed to achieve the biological imaging goals for simplified and less expensive future designs. For both imaging systems, images of biological entities are recorded with the help of the same CMOS imaging device and computer software. The main contribution of this work is an exhaustive comparison between the performance characteristics of both systems using optical standards and biological images.

摘要

无透镜生物成像系统是传统显微镜系统的一种新兴替代方案,因为它们能够实现大视野成像。虽然大多数显微镜系统为了放大倍数而牺牲视野,但无透镜系统利用小成像像素尺寸、投影、数字放大和后处理来补偿衍射图像。一种新的基于透镜的系统被设计成具有与基本无透镜设置完全相同的宽视野。利用一种新的复合透镜系统设计来实现与无透镜设置具有相同视野的明确目标。然后在这种复杂程度上比较这两种光学成像设置(无透镜和基于透镜的设置)的特性,以了解实现简化且成本更低的未来生物成像设计目标所需的最小系统原理。对于这两种成像系统,借助相同的CMOS成像设备和计算机软件记录生物实体的图像。这项工作的主要贡献是使用光学标准和生物图像对两种系统的性能特征进行了详尽比较。

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