Seeing is Believing:Nanophotonic Pixels for Subwavelength Imaging On a Chip
Grant number: DP170100363 | Funding period: 2017 - 2021
This project aims to develop a nanophotonic pixel technology in complementary metal-oxide semi-conductor (CMOS) chips to bypass the resolution limitations for direct optical imaging and enumeration of submicron sized specimens in lab-on-chip imaging applications. Lab-on-chip imaging technology is a promising point-of-care technology, where the specimen is placed directly on a CMOS chip for imaging without using labels or chemicals and with no intervening optical components. The technology arising from the research will ultimately allow new devices to be developed, expanding the uses for lab-on-chip and potentially changing the way in which front-line medicine is practiced.
Related publications (12)
A single sensor based multispectral imaging camera using a narrow spectral band color mosaic integrated on the monochrome CMOS image sensor
Xin He, Yajing Liu, Kumar Ganesan, Arman Ahnood, Paul Beckett, Fatima Eftekhari, Dan Smith, Md Hemayet Uddin, Efstratios Skafidas, Ampalavanapillai Nirmalathas, Ranjith Rajasekharan Unnithan
A multispectral image camera captures image data within specific wavelength ranges in narrow wavelength bands across the electroma..
Fully Solution-Processed Transparent Artificial Neural Network Using Drop-On-Demand Electrohydrodynamic Printing
J Yong, Y Liang, Y Yu, B Hassan, MS Hossain, K Ganesan, RR Unnithan, R Evans, G Egan, G Chana, B Nasr, E Skafidas
© 2019 American Chemical Society. Artificial neural networks (ANN), deep learning, and neuromorphic systems are exciting new proce..