Nanooptical Systems In Cmos
- doi: 10.1109/MWSCAS.2017.8053071
- title: Nano-optical systems in CMOS
- publisher: IEEE
- isbn: 978-1-5090-6390-1
- issn: 1558-3899
- rank: 3083
- access_type: LOCKED
- content_type: Conferences
-
abstract: Optical systems-on-chip (SOCs) with
integrated optical passives in the visible and near-IR range can have a
tremendous impact in miniaturizing complex optical instrumentation to
enable a new class of ultra-compact, low-cost optical sensors and
imagers for a wide variety of emerging applications. However, while
high-density image sensors are now commonplace in CMOS, all passive
optical components are typically realized externally, and are often
bulky and expensive which limits its space for potential applications.
In this paper, we present a design methodology where sub-wavelength
lithographic features in modern day CMOS processes, particularly in the
copper-based interconnect layers, can be exploited to realize massively
complex and multi-functional nano-optical components. Co-designed with
embedded detection and electronic circuitry, this integrated approach
can potentially open the door to a new class of optical SOCs. In this
paper, we illustrate this approach with three design examples: the first
fully integrated fluorescence-based CMOS bio-molecular sensor with
integrated nanoplasmonic filters, the first optical spectrometer in CMOS
in visible and near-IR, and the first optical CMOS physically unclonable
function (PUF) exploiting process-sensitive photonic crystals, all in
65-nm CMOS.
- article_number: 8053071
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8053071
-
html_url:
https://ieeexplore.ieee.org/document/8053071/
-
abstract_url:
https://ieeexplore.ieee.org/document/8053071/
-
publication_title: 2017 IEEE 60th International Midwest
Symposium on Circuits and Systems (MWSCAS)
- conference_location: Boston, MA, USA
- conference_dates: 6-9 Aug. 2017
- publication_number: 8039346
- is_number: 8052834
- publication_year: 2017
- publication_date: 6-9 Aug. 2017
- start_page: 906
- end_page: 909
- citing_paper_count: 3
- citing_patent_count: 0
- download_count: 349
- insert_date: 20171002
-
index_terms:
-
ieee_terms:
- Optical sensors
- Integrated optics
- Optical scattering
- Biomedical optical imaging
- Optical signal processing
- Optical imaging
- Optical filters
-
author_terms:
- CMOS
- imager
- sensor
- biosensor
- plasmonics
- metal-optics
- nanoplasmonics
- nano-optics
- copper
- interconnects
-
dynamic_index_terms:
- Image Sensor
- Camera Sensor
- Electronic Circuits
- Electronic Circuitry
- Optical Components
- Low-cost Sensors
- Photonic Integrated Circuits
- Integrated Optics
- Photonic Chip
- CMOS Process
- Interconnecting Layer
- 65-nm CMOS
- Physical Unclonable Functions
- Nanomaterials
- Nanostructures
- Signal Processing
- Electromagnetic Field
- Optical Field
- Photodiode
- Waveguide
- Collimator
- Metal Layer
- Dark Current
- Optical Frequency
- Spectral Estimation
- Spectral Calculations
- Spectral Approximation
- Metal Interconnects
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 978-1-5090-6390-1,
isbnType: New-2005
-
format: USB ISBN,
value: 978-1-5090-6388-8,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-5090-6389-5,
isbnType: New-2005
-
authors:
-
Author Name: Lingyu Hong
Affiliation: Invited Paper Electrical Engineering,
Princeton University, USA
Author URL:
https://ieeexplore.ieee.org/author/37085764518
ID: 37085764518
Order: 1
Author Affiliations:
-
Invited Paper Electrical Engineering, Princeton University, USA
-
Author Name: Xuyang Lu
Affiliation: Invited Paper Electrical Engineering,
Princeton University, USA
Author URL:
https://ieeexplore.ieee.org/author/37085997000
ID: 37085997000
Order: 2
Author Affiliations:
-
Invited Paper Electrical Engineering, Princeton University, USA
-
Author Name: Kaushik Sengupta
Affiliation: Invited Paper Electrical Engineering,
Princeton University, USA
Author URL:
https://ieeexplore.ieee.org/author/37545750600
ID: 37545750600
Order: 3
Author Affiliations:
-
Invited Paper Electrical Engineering, Princeton University, USA
Image Sensor
- sensor_type: CMOS
- resolution: not specified
- dynamic_range: 94 dB
- pixel_size: not specified
-
dark_current: 12 fW light sensitivity (specific dark
current not mentioned)
Optical Data
- focal_length: not specified
- aperture: not specified
- field_of_view: not specified
- distortion: not specified
Performance Metrics
Applications & Benefits
-
cell_imaging: Affinity-based optical bio-sensing which
relies on selective capture and detection of biomarkers such as nucleic
acids and proteins.
-
benefits: Integrated CMOS fluorescence sensing
eliminates the need for external optical components, making systems
portable and cost-effective.
Supporting Organizations
- supported_by: Princeton University, USA
Manuscript Details
- publication_date: 6-9 Aug. 2017
Relevancy Score
- score: 9
-
missing_fields:
- resolution
- pixel_size
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
Processed JSON Filename
request_40c0918d-fd31-47e1-be6a-88302de51052-nanooptical_systems_in_cmos.json