Bio-inspired asynchronous pixel event tri-color vision sensor

Leñero‐Bardallo, Juan A.; Bryn, D. H.; Häfliger, Philipp

doi:10.1109/biocas.2011.6107775

Cited by 4 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some early designs [30] attempted a complete silicon model of the retina, using logarithmic photoreceptors with resistive interconnects to produce an array whose voltage at a location is a weighted spatial average of neighboring photoreceptors. Other designs sought to replicate neural firing patterns by asynchronously outputting only when detecting significant changes from each photosensitive pixel [31]–[33] or significant color changes from color-sensitive pixels [34], [35]. Some designs have even sought to directly mimic the compound eye of insects [36].…”

Section: Cmos Sensors With Polarization Selectivitymentioning

confidence: 99%

Bioinspired Polarization Imaging Sensors: From Circuits and Optics to Signal Processing Algorithms and Biomedical Applications

et al. 2014

View full text Add to dashboard Cite

In this paper, we present recent work on bioinspired polarization imaging sensors and their applications in biomedicine. In particular, we focus on three different aspects of these sensors. First, we describe the electro–optical challenges in realizing a bioinspired polarization imager, and in particular, we provide a detailed description of a recent low-power complementary metal–oxide–semiconductor (CMOS) polarization imager. Second, we focus on signal processing algorithms tailored for this new class of bioinspired polarization imaging sensors, such as calibration and interpolation. Third, the emergence of these sensors has enabled rapid progress in characterizing polarization signals and environmental parameters in nature, as well as several biomedical areas, such as label-free optical neural recording, dynamic tissue strength analysis, and early diagnosis of flat cancerous lesions in a murine colorectal tumor model. We highlight results obtained from these three areas and discuss future applications for these sensors.

show abstract