Field-portable quantitative lensless microscopy based on translated speckle illumination and sub-sampled...

We report a compact, cost-effective, and field-portable lensless imaging platform for quantitative microscopy. In this platform, the object is placed on top of an image sensor chip without using a lens. We use a low-cost galvo scanner to rapidly scan an unknown laser speckle pattern on the object. To address the positioning repeatability and accuracy issues, we directly recover the positional shifts of the speckle pattern based on the phase correlation of the captured images. To bypass the resolution limit set by the imager pixel size, we employ a sub-sampled ptychographic phase retrieval process to recover the complex object. We validate our approach using a resolution target, phase target, and biological sample. Our results show that accurate, high-quality complex images can be obtained from a lensless dataset with as few as ∼10 images. We also demonstrate the reported approach to achieve a 6.4-mm by 4.6-mm field of view and a half-pitch resolution of 1 μm. The reported approach may provide a quantitative lensless imaging strategy for addressing point-of-care-, global-health-, and telemedicine-related challenges.