The purpose of emerging biophotonics sensors, including simultaneous hardware and software development, is to enable the observation of biological cells, organisms, and systems with a high sensitivity, accuracy, and spatial and temporal resolutions. Such achievements have unraveled novel dynamics and mechanism of biological systems, hence encouraging the scientific community to advance the design and implementation of novel three-dimensional imaging sensing and reconstruction methods. This Special Feature calls for innovative and original contributions in the development of imaging sensing and reconstruction approaches that extend the capabilities of existing techniques in terms of spatial resolution, imaging depth, imaging speed, or any other feature relevant for biomedical research.
Topics of interest include, but are not limited to, the following:
Development and performance of new detectors.
Development and performance of new sources and light-shaping devices.
Development and performance of novel three-dimensional imaging sensing systems.
Investigation of new features and applications using imaging reconstruction post-processing technologies.
Development and performance of new computational imaging approaches, for instance, compressive sensing and machine learning techniques, including different and adapted versions of deep neural network (DNN) strategies.
Special Issue Editors:
Dr. Ana Doblas
University of Memphis, Memphis, United States
Interests: biomedical systems; optical imaging systems for microscopy; multidimensional imaging techniques; computational imaging for microscopy
Dr. Carlos Trujillo
EAFIT University, Medellin, Colombia
Interests: optical systems; deep learning techniques; computational imaging strategies
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