High Resolution Imaging Through Integrated Nanoholes Image Sensor

• doi: 10.1109/BIOCAS.2008.4696920
• title: High resolution imaging through integrated nanoholes image sensor
• publisher: IEEE
• isbn: 978-1-4244-2879-3
• issn: 2163-4025
• partnum: 08EX2555
• rank: 2603
• access_type: LOCKED
• content_type: Conferences
• abstract: A new imaging sensor with high resolution independent of the image sensorpsilas pixel size is presented. This 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. The final high resolution image requires a relative scanning motion between the sensor and the object under test; this relative motion can be achieved in an optofluidic microscopy system whereas the sample flows in a microfluidic channel while the image sensor acquires the high resolution image. Here, we describe the concept of the presented high resolution imaging sensor and elaborate on the optofludic microscopy system as one example of its implementation for a real biomedical imaging application.
• article_number: 4696920
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4696920
• html_url: https://ieeexplore.ieee.org/document/4696920/
• abstract_url: https://ieeexplore.ieee.org/document/4696920/
• publication_title: 2008 IEEE Biomedical Circuits and Systems Conference
• conference_location: Baltimore, MD, USA
• conference_dates: 20-22 Nov. 2008
• publication_number: 4693717
• is_number: 4696849
• publication_year: 2008
• publication_date: 20-22 Nov. 2008
• start_page: 245
• end_page: 248
• citing_paper_count: 1
• citing_patent_count: 1
• download_count: 129
• insert_date: 20090220
• index_terms:
  • ieee_terms:
    • High-resolution imaging
    • Image sensors
    • Image resolution
    • Microscopy
    • Pixel
    • CMOS process
    • Sensor systems
    • System testing
    • Microfluidics
    • Biosensors
  • dynamic_index_terms:
    • High-resolution
    • High-resolution Images
    • Image Sensor
    • Camera Sensor
    • Pixel Size
    • Real Applications
    • Microscope System
    • Metal Layer
    • Sample Flow
    • Standard CMOS
    • Image Processing
    • Image Resolution
    • Digital Images
    • Images Of Samples
    • Surface Plasmon
    • Plane Wave
    • Multiple Images
    • Light Transmission
    • Pixel Area
    • Sensor Surface
    • Diffraction Rings
    • Airy Disk
    • Airy Pattern
    • Optical Lens
    • Optical Lenses
    • Silicon Surface
    • Equivalent Size
    • Repeat Distance
• isbn_formats:
  • format: CD, value: 978-1-4244-2879-3, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-2878-6, isbnType: New-2005
• authors:
  • Author Name: Tamer A. Elkhatib
    Affiliation: Electrical, Computers and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37584953900
    ID: 37584953900
    Order: 1
    Author Affiliations:
    • Electrical, Computers and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
  • Author Name: Khaled N. Salama
    Affiliation: Electrical, Computers and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37543500500
    ID: 37543500500
    Order: 2
    Author Affiliations:
    • Electrical, Computers and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA

Image Sensor

• sensor_type: CMOS
• resolution: Not specified in the text
• dynamic_range: Not specified in the text
• pixel_size: 1.4 µm (final pixel size mentioned)
• dark_current: Not specified in the text

Optical Data

• focal_length: Not specified in the text
• aperture: Not specified in the text
• field_of_view: Not specified in the text
• distortion: Not specified in the text

Performance Metrics

• frame_rate: Not specified in the text
• signal_to_noise_ratio: Not specified in the text
• sensitivity: Not specified in the text
• shutter_speed: Not specified in the text
• power_consumption: Not specified in the text
• noise: Not specified in the text

Applications & Benefits

• cell_imaging: Biomedical imaging applications using high resolution and enhanced image quality due to the integration of nanoholes in the sensor.
• benefits: High resolution imaging independent of pixel size; integration can be implemented in standard submicron CMOS processes.

Supporting Organizations

• supported_by: Not specified in the text

Manuscript Details

• publication_date: 20-22 Nov. 2008

Relevancy Score

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

Processed JSON Filename

request_d149caff-7dc5-4c0c-a737-ae49c06860b0-high_resolution_imaging_through_integrated_nanoholes_image_sensor.json