A concentric array of liquid crystal microlenses provides 4D information about objects. Scale bar, 20 μm. Credit: Adapted from ACS Nano 2019, DOI: 10.1021/acsnano.9b07104

Most images captured by a camera lens are flat and two dimensional. Increasingly, 3-D imaging technologies are providing the crucial context of depth for scientific and medical applications. 4-D imaging, which adds information on light polarization, could open up even more possibilities, but usually the equipment is bulky, expensive and complicated. Now, researchers reporting in ACS Nano have developed self-assembling liquid crystal microlenses that can reveal 4-D information in one snapshot.

Polarized light contains waves that undulate in a single plane, whereas unpolarized light, such as that from the sun, contains waves that move in every direction. Light can become polarized by reflecting off objects, and detecting this type of light could reveal hidden information. For example, can reflect polarized light differently than healthy tissues. Wei Hu, Yan-Qing Lu and colleagues wanted to develop a portable, inexpensive and easy-to-use microlens to simultaneously acquire 3-D space and polarization information, thereby producing 4-D images.

To make their microlenses, the researchers used liquid crystals, materials found in most electronic displays. With a self-assembly process, they patterned arrays of liquid crystal microlenses into concentric circles. The researchers used a polarized optical microscope to image objects, such as a cross or the letter "E," under different directions of linearly polarized light. Microlenses in the array imaged the object differently, depending on their distance from the object (depth) and the direction of polarized light, producing 4-D information. Although the resolution needs to be improved, the technique could someday be used in applications such as , communications, displays, information encryption and , the researchers say.

Credit: ACS

More information: Ling-Ling Ma et al. Self-Assembled Asymmetric Microlenses for Four-Dimensional Visual Imaging, ACS Nano (2019). DOI: 10.1021/acsnano.9b07104

Journal information: ACS Nano