4.7 Article

Lensless imaging through thin scattering layers under broadband illumination

期刊

PHOTONICS RESEARCH
卷 10, 期 11, 页码 2471-2487

出版社

CHINESE LASER PRESS
DOI: 10.1364/PRJ.466065

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资金

  1. National Natural Science Foundation of China
  2. Central University Basic Scientific Research Business Expenses Special Funds
  3. 111 Project
  4. [61975254]
  5. [62075175]
  6. [XJS210506]
  7. [XJS222202]
  8. [B17035]

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Lensless scattering imaging is a prospective approach to microscopy that reconstructs high-resolution images of objects from measured speckle patterns, providing a solution when imaging optics cannot be used. This study proposes two general approaches that enable single-shot lensless scattering imaging under broadband illumination, with both noninvasive and invasive modes. The methods are experimentally verified using visible radiation and have potential applications in ultrafast science, passive sensing, and biomedical applications.
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 -maxi-mum bandwidth as wide as 280 nm (Delta lambda/lambda = 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. (c) 2022 Chinese Laser Press

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