Enhanced spectral lightfield fusion microscopy via deep computational optics for whole-slide pathology

Farnoud Kazemzadeh; Hector Li-Chang; Alexander Wong

doi:10.1117/12.2510952

21 February 2019 Enhanced spectral lightfield fusion microscopy via deep computational optics for whole-slide pathology

Farnoud Kazemzadeh, Hector Li-Chang, Alexander Wong

Proceedings Volume 10883, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVI; 1088312 (2019) https://doi.org/10.1117/12.2510952
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Lensfree on-chip microscopy, which harnesses holography principles to capture interferometric light-field encodings without the need of lenses, is an emerging microscopy modality with widespread interest given the large field-of-view (FOV) compared to lens-based microscopy systems. In particular, there is a growing interest on the development of high-quality lensfree on-chip color microscopy. In this study, we propose a multi-laser spectral lightfield fusion microscopy using deep computational optics for achieving lensfree on-chip color microscopy. We will demonstrate that leveraging deep computational optics can enable imaging resolution beyond the diffraction limit without the use of any complex hardware-based super-resolution techniques, such as aperture scanning. The capabilities of the microscope are examined for whole-slide pathology. The superior imaging resolution of the instrument is demonstrated by imaging of a series of biological specimens demonstrating the true color imaging capability of the instrument while showcasing the large FOV of the instrument.

Citation Download Citation

Farnoud Kazemzadeh, Hector Li-Chang, and Alexander Wong "Enhanced spectral lightfield fusion microscopy via deep computational optics for whole-slide pathology", Proc. SPIE 10883, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVI, 1088312 (21 February 2019); https://doi.org/10.1117/12.2510952

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