Nanoholes Microscopy

• doi: 10.1109/APCCAS.2008.4746034
• title: Nanoholes microscopy
• publisher: IEEE
• isbn: 978-1-4244-2342-2
• issn:
• partnum: 08EX2332
• rank: 3084
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents a new structure of an imaging sensor to be used in the implementation of real time Optofluidic Microsopy (OFM). This imaging sensor combines an integrated nanohole patterned in the first metal layer within each pixel and it can be fabricated in any standard submicron CMOS process. This implementation will enable a microscopic on-chip real time imaging of biological samples flowing in microfluidic channels. We verified the operation of this new implementation by many numerical optical simulations based on the finite element method that are used to model the real time OFM device.
• article_number: 4746034
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4746034
• html_url: https://ieeexplore.ieee.org/document/4746034/
• abstract_url: https://ieeexplore.ieee.org/document/4746034/
• publication_title: APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems
• conference_location: Macao, China
• conference_dates: 30 Nov.-3 Dec. 2008
• publication_number: 4723905
• is_number: 4745943
• publication_year: 2008
• publication_date: 30 Nov.-3 Dec. 2008
• start_page: 360
• end_page: 363
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 66
• insert_date: 20090109
• index_terms:
  • ieee_terms:
    • Microscopy
    • Optical imaging
    • Nanobioscience
    • Biological system modeling
    • Image sensors
    • CMOS image sensors
    • Biosensors
    • Pixel
    • CMOS process
    • Microfluidics
  • dynamic_index_terms:
    • Finite Element
    • Finite Element Method
    • Image Sensor
    • Camera Sensor
    • Metal Layer
    • Simulation Results
    • Pixel Size
    • Multiple Images
    • Light Transmission
    • Separation Distance
    • 2D Model
    • Sample Flow
    • Adjacent Pixels
    • Chip Surface
    • CMOS Technology
    • Fabrication Steps
    • Silicon Surface
    • Fluidic Channel
    • Fluid Channel
    • Channel Bottom
    • High Rejection Rate
    • Length Of The Object
    • Lengths Of Objects
    • Repeat Distance
    • Speed Of The Object
    • Small Pixel Size
    • Thin Metal Layer
    • Pixel Area
    • PMMA Layer
    • Linear Array
    • High-resolution
• isbn_formats:
  • format: Electronic ISBN, value: 978-1-4244-2342-2, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-2341-5, isbnType: New-2005
• authors:
  • Author Name: Tamer A. Elkhatib
    Affiliation: Electrical, Computers and Systems Engineering, Rensselaer Polytechnic Institute, USA
    Author URL: https://ieeexplore.ieee.org/author/37584953900
    ID: 37584953900
    Order: 1
    Author Affiliations:
    • Electrical, Computers and Systems Engineering, Rensselaer Polytechnic Institute, USA
  • Author Name: Khaled N. Salama
    Affiliation: Electrical, Computers and Systems Engineering, Rensselaer Polytechnic Institute, USA
    Author URL: https://ieeexplore.ieee.org/author/37543500500
    ID: 37543500500
    Order: 2
    Author Affiliations:
    • Electrical, Computers and Systems Engineering, Rensselaer Polytechnic Institute, USA

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: 2.4 µm
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: 30 fps

Applications & Benefits

• cell_imaging: High-resolution imaging of biological samples in microfluidic channels.
• benefits: Miniaturized design, low cost, high throughput, non-destructive optical probing, high resolution independent of pixel size.

Supporting Organizations

• supported_by: Not specified

Manuscript Details

• publication_date: 30 Nov.-3 Dec. 2008

Relevancy Score

• score: 9
• missing_fields:
  • resolution
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • supported_by

Processed JSON Filename

request_63ea2952-cb36-4705-8314-df44135aebdf-nanoholes_microscopy.json