Miniature Imaging Systems for Biomedical Applications

Hosted by Journal of Optical Microsystems Editor-in-Chief Hans Zappe (University of Freiburg), a live webinar on Miniature Imaging Systems for Biomedical Applications featured presentations on leading-edge topics. View the recorded event below.

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Miniature Imaging Systems for Biomedical Applications

Compact imaging systems, including endoscopes and microscopes are of critical importance for imaging inside living, behaving animals and humans, with far-reaching impact on diagnosis and therapeutics of various diseases. However, miniaturizing these elements without sacrificing imaging performance is challenging. While fundamentally the performance of an imaging system degrades with reduced volume, technological limitations also preclude miniaturization of the optics. In the recent past, tremendous progress has happened in engineered optics such as meta-optics and freeform surfaces to dramatically reduce the dimension of imaging systems. Computational imaging, coupled with these engineered optics have been employed to not only mitigate image degradation due to miniaturization but also have exhibited novel functionality not achievable via optics alone. Moderated by Jiawen Li of the University of Adelaide, the webinar brought together experts in this field to provide an update on the state-of-the-art meta-optical systems and computational techniques to miniaturize imaging systems for biomedical applications.

Lei TianAnn RobertsArka MajumdarHaoran Ren

Speakers:                                                       

  • Lei Tian, Boston University, United States: "Computational Miniature Mesoscope:
    Augmenting miniature optics with algorithms for large-scale 3D fluorescence imaging"
  • Ann Roberts, University of Melbourne, Australia: "Nano-photonics for compact all-optical image processing"
  • Arka Majumdar, University of Washington, United States: "Agile endoscopy via meta-optics"
  • Haoran Ren, Monash University, Australia: "3D meta-optics on fiber"

                                              


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