Lensless imaging through thin scattering layers under broadband illumination
Lensless imaging through thin scattering layers under broadband illumination作者机构:School of Optoelectronic EngineeringXidian UniversityXi’an 710071China School of PhysicsXidian UniversityXi’an 710071China Laboratoire Kastler BrosselENS–UniversitéPSLCNRSSorbonne UniversitéCollege de FranceF-75005 ParisFrance Hefei National Laboratory for Physical Sciences at Microscale and School of Physical ScienceUniversity of Science and Technology of ChinaHefei 230026China
出 版 物:《Photonics Research》 (光子学研究(英文版))
年 卷 期:2022年第10卷第11期
页 面:2471-2487页
核心收录:
学科分类:070207[理学-光学] 07[理学] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0803[工学-光学工程] 0702[理学-物理学]
基 金:National Natural Science Foundation of China(61975254,62075175) Central University Basic Scientific Research Business Expenses Special Funds(XJS210506,XJS222202) 111 Project(B17035)
主 题:spectrum illumination speckle
摘 要:Lensless scattering imaging is a prospective approach to microscopy in which a high-resolution image of an object is reconstructed from one or more measured speckle patterns, thus providing a solution in situations where the use of imaging optics is not possible. However, current lensless scattering imaging methods are typically limited by the need for a light source with a narrowband spectrum. Here, we propose two general approaches that enable single-shot lensless scattering imaging under broadband illumination in both noninvasive [without point spread function(PSF) calibration] and invasive(with PSF calibration) modes. The first noninvasive approach is based on a numerical refinement of the broadband pattern in the cepstrum incorporated with a modified phase retrieval strategy. The latter invasive approach is correlation inspired and generalized within a computational optimization framework. Both approaches are experimentally verified using visible radiation with a full-width-at-half-maximum bandwidth as wide as 280 nm(Δλ∕λ = 44.8%) and a speckle contrast ratio as low as 0.0823. Because of its generality and ease of implementation, we expect this method to find widespread applications in ultrafast science,passive sensing, and biomedical applications.