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Teaching Image Processing and Optical Engineering to University Biology Students

The Biophysicist 2023 Score: 30 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.

Thomas Zimmerman, Raymond M. Esquerra, Yee-Hung M. Chan, Anagha Kulkarni, Nicole Adelstein, Ashley Albright, Jiayu Luo, Jiayu Luo, Ziah Dean, Salma Ahmed, Salma Ahmed, Michelle Phillips, Simone Bianco, Sara Capponi

Summary

This paper describes a laboratory course teaching undergraduate biology students image processing and optical engineering skills for biophysics research. These technical skills are increasingly applied in microplastics research for automated particle detection and identification.

ABSTRACT Biophysics is an interdisciplinary pursuit requiring researchers with knowledge and skills in several areas. Optical instruments and computers are fundamental tools in biophysics research to collect and analyze data. We developed a 1-semester Optical Engineering Laboratory course to teach image processing, optical engineering, and research skills to undergraduate students majoring in biology and biochemistry. With the use of development systems on students' laptops and in the cloud, students learned image processing with Python and OpenCV. Each student constructed a microprocessor-based lensless holographic microscope, gaining hands-on experience with optical engineering. The class culminated in original, student-designed research projects. All lectures, hands-on labs, and student research projects were performed both in person and remotely, in response to the COVID-19 pandemic.

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