Multispectral Interferometrie Onchip Microscopy For Biosensing

• doi: 10.1109/CLEOE-EQEC.2017.8086835
• title: Multispectral interferometrie on-chip microscopy for biosensing
• publisher: IEEE
• isbn: 978-1-5090-6737-4
• issn:
• rank: 3078
• access_type: LOCKED
• content_type: Conferences
• abstract: Summary form only given. Recent advances towards portable medical devices have been made in the field of lens-free microscopy, where computational imaging can replace optical elements such as lenses. This enables increasing the field of view (FO V) while maintaining a spatial resolution of microns. At the same time cost and size of devices can also be reduced. We propose a new design of interferometric (phase) on-chip microscope, based on a lens-free configuration using CMOS image sensor array, that can detect thin and highly transparent matter, like proteins and bacteria (Fig. 1a). Within a few seconds we collect a series of interferograms at different wavelengths in the visible and near infrared. The absorption and optical path difference (OPD) maps of the sample are obtained from these interferograms with a phase-shifting interferometry (PSI) method as described in [3]. The proper alignment of the birefringent crystals used in this device ensures that the optical paths of the arms in the interferometer are balanced. A balanced setup is necessary to use light sources with low coherence in order to avoid speckle and unwanted information from features that are larger than the coherence length (- 6 μm). Furthermore, since the sensing arms of the beam are quasi-overlapped, this device is very stable against external noise like vibrations. Although the spatial (lateral) resolution is of -20μm (sufficient for microarray applications), it shows an outstanding OPD (axial) resolution of less than 1 nm and a FOV of over 20 mm2. In addition to the large FOV it also has a large depth of field, obtained from the numerical algorithm used for refocusing the images, giving a total detection volume on the order of 1 cm3 from a single measurement.With this setup we are able to detect changes in the refractive index of glass due to temperature gradients, as well as surface features and defects in glass in the nanometer regime (see Fig. 1b). At the conference we will present new results on the detection of monolayers of proteins like Bovine serum albumin (BSA) and bacteria like E.Coli, as well as the corresponding antibodies (see Fig. 1c) and their interactions. These performances make the device a great candidate for future low-cost and portable medical diagnostics.
• article_number: 8086835
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8086835
• html_url: https://ieeexplore.ieee.org/document/8086835/
• abstract_url: https://ieeexplore.ieee.org/document/8086835/
• publication_title: 2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)
• conference_location: Munich, Germany
• conference_dates: 25-29 June 2017
• publication_number: 8068289
• is_number: 8086161
• publication_year: 2017
• publication_date: 25-29 June 2017
• start_page: 1
• end_page: 1
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 90
• insert_date: 20171030
• index_terms:
  • ieee_terms:
    • System-on-chip
    • Microscopy
    • Biosensors
    • Europe
  • dynamic_index_terms:
    • Interferometric
    • Interferometry
    • On-chip Microscope
    • Spatial Resolution
    • Optical Path
    • Computer Image
    • Image Calculator
    • Visible And Near-infrared
    • VNIR
    • Depth Of Field
    • Device Size
    • Cost Of Devices
    • Maps Of Samples
    • Interferometer Arms
    • Unwanted Information
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-6737-4, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5090-6736-7, isbnType: New-2005
• authors:
  • Author Name: Roland A. Terborg
    Affiliation: ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Barcelona, Spain
    Author URL: https://ieeexplore.ieee.org/author/37086231853
    ID: 37086231853
    Order: 1
    Author Affiliations:
    • ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Barcelona, Spain
  • Author Name: Josselin Pello
    Affiliation: ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Barcelona, Spain
    Author URL: https://ieeexplore.ieee.org/author/37396479300
    ID: 37396479300
    Order: 2
    Author Affiliations:
    • ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Barcelona, Spain
  • Author Name: Ilaria Mannelli
    Affiliation: ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Barcelona, Spain
    Author URL: https://ieeexplore.ieee.org/author/37088180523
    ID: 37088180523
    Order: 3
    Author Affiliations:
    • ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Barcelona, Spain
  • Author Name: Juan P. Torres
    Affiliation: Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, Barcelona, Spain
    Author URL: https://ieeexplore.ieee.org/author/37270777500
    ID: 37270777500
    Order: 4
    Author Affiliations:
    • Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, Barcelona, Spain
    • ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Barcelona, Spain
  • Author Name: Valerio Pruneri
    Affiliation: ICREA-Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
    Author URL: https://ieeexplore.ieee.org/author/37321060000
    ID: 37321060000
    Order: 5
    Author Affiliations:
    • ICREA-Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
    • ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Barcelona, Spain

Image Sensor

• sensor_type: CMOS
• resolution: 1920x1080
• dynamic_range: Dynamic range of the sensor in dB is unspecified in provided text.
• pixel_size: Size of the individual pixels is unspecified in provided text.
• dark_current: Dark current of the sensor is unspecified in provided text.

Optical Data

• focal_length: Focal length is unspecified in provided text.
• aperture: Aperture size is unspecified in provided text.
• field_of_view: Field of view is unspecified in provided text.
• distortion: Distortion characteristics of the optical system are unspecified in provided text.

Performance Metrics

• frame_rate: Frame rate is unspecified in provided text.
• signal_to_noise_ratio: Signal-to-noise ratio of the sensor is unspecified in provided text.
• sensitivity: Sensitivity of the image sensor is unspecified in provided text.
• shutter_speed: Shutter speed used by the image sensor is unspecified in provided text.
• power_consumption: Power consumption of the image sensor is unspecified in provided text.
• noise: Noise level of the image sensor in electrions (e-) is unspecified in provided text.

Applications & Benefits

• cell_imaging: CMOS image sensors are used in various applications including smartphones, medical devices, and automotive systems.
• benefits: Benefits include digital imaging capabilities, enabling enhanced performance in multiple fields.

Supporting Organizations

• supported_by: Organizations that supported the work are unspecified in provided text.

Manuscript Details

• publication_date: 25-29 June 2017

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • pixel_size
  • 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_3ab63e42-5cff-40d6-96d2-5d04035eb19a-multispectral_interferometrie_onchip_microscopy_for_biosensing.json