The new imaging system replaces the lens with photoelectric fiber

The new imaging system replaces the lens with photoelectric fiber

Scientists at MIT have developed a new type of imaging device that features a loose fiber optic bundle that replaces the traditional lens and therefore does not require a protective cover. This fiber bundle can be immersed in liquids and output images, with promising prospects in the fields of oil fields, aquifers and pipelines. The tightly bound fiber bundles can also be used as small-diameter endoscopes, and no additional electronics are needed. The other end of the fiber is a photosensor array.

Since the other end of the fiber does not fluctuate, they can pass through the microporous membrane alone. On the photodetector array, the free end of the fiber does not need to correspond to a specific location.

Because by measuring the different times the light pulse reaches the detector (this technique is called "time of flight"), the device can determine the relative position of the fiber.

In experimental prototype systems, researchers used external laser sources. But in the commercial version of the device, the calibration pulse will be provided by the optical fiber itself.

Barmak Heshmat, the first author of the paper leading the study, said:

Time-of-flight technology has been widely used in our group, but it has never been used to do such a thing. Previous work has used it to extract depth information, but in this work we have made it a new imaging interface.

Ramesh Raskar also participated in the study. They placed 1,100 free fiber bundles on one end and then projected images on the other end of the screen. It is connected to a beam splitter and two cameras (1 normal 1 high speed) are connected to distinguish the arrival time of light pulses.

Vertically on the free end of the fiber are two ultrafast lasers, whose arrival time of short pulses is recorded by a high-speed camera.

Because of their different sources of directions, the software can generate 2D maps of relative locations based on this, and eventually these information will be processed by the traditional camera system processor.

This study has been published in the recently published Nature Scientific Reports.

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