Mask-modulated lensless imaging via translated structured illumination.

Area of Science:

• Optics and Photonics
• Microscopy
• Image Reconstruction

Background:

• Lensless microscopy offers potential for high-resolution imaging over large fields of view.
• Phase retrieval techniques are crucial for recovering lost phase information from intensity-only measurements.
• Traditional methods often require mechanical scanning, limiting speed and increasing complexity.

Purpose of the Study:

• To develop a mask-modulated lensless imaging platform.
• To achieve high-resolution and wide field-of-view imaging without mechanical scanning.
• To recover complex-valued object images from intensity measurements.

Main Methods:

• Utilized a mask-modulated lensless imaging setup with the object sandwiched between a coded mask and an image sensor.
• Employed an LED array for angle-varied illumination, projecting translated structured patterns.
• Applied a regularized ptychographic iterative engine with reciprocal space up-sampling for image reconstruction.

Main Results:

• Successfully recovered complex-valued object images with enhanced resolution and quality compared to prior methods.
• Demonstrated a lensless imaging platform capable of wide field-of-view acquisition.
• Validated the effectiveness of translated structured illumination and iterative reconstruction.

Conclusions:

• The developed mask-modulated lensless imaging platform provides a cost-effective solution for high-resolution, wide field-of-view imaging.
• Eliminating mechanical scanning simplifies the system and improves efficiency.
• This approach advances ptychographic imaging capabilities.