Researchers in Purdue University’s College of Engineering are developing patented and patent-pending innovations to make 3D microscopes faster to operate and less expensive to manufacture.
Traditional, large depth-of-field 3D microscopes are used across academia and industry, with applications ranging from life sciences to quality control processes used in semiconductor manufacturing. Song Zhang, a professor in Purdue’s School of Mechanical Engineering, says these microscopes are too slow to capture 3D images and too expensive to build due to the requirement of a high-precision translation stage.
“Such drawbacks in a microscope slow the measurement process, making it difficult to use for applications that require high speeds, such as in situ quality control,” Zhang says.
The Purdue innovation
A research team at Purdue aimed to address these drawbacks by developing the Purdue 3D microscope. Zhang says the Purdue 3D microscope automatically completes three steps: focusing in on an object, determining the optimal capture process, and creating a high-quality 3D image for the end user.
“In contrast, a traditional microscope requires users to carefully follow instructions provided by the manufacturer to perform a high-quality capture,” Zhang says.
Zhang and his colleagues use an electronically tunable lens (ETL) that changes the focal plane of the imaging system without moving parts. He says using the lens makes the 3D microscope easier to use and less expensive to build.
“Our suite of patents covers methods on how to calibrate the ETL, how to create all-in-focus 3D images quickly, and how to speed up the data acquisition process by leveraging the ETL hardware information,” Zhang says. “The end result is the same as a traditional microscope: 3D surface images of a scene. Ours is different because of its high speed and relatively low cost.”
Research about the Purdue 3D microscope and its capabilities has been published in the peer-reviewed Optics Letters and the the peer-reviewed Optics and Lasers in Engineering. The National Science Foundation also awarded the team a grant to conduct their research.
Next steps
Zhang and his team have developed algorithms and created a prototype system in their lab. They are looking to translate their research into a commercial product.
“This will require an industrial partner,” Zhang says. “We are certainly interested in helping this process, including sharing our know-how and research results to make the transition smooth.”
Zhang disclosed the innovations to the Purdue Innovates Office of Technology Commercialization, which has applied for and received patents to protect multiple pieces of intellectual property in this project.
Purdue University
https://www.purdue.edu
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