Miniaturized Intracavity Image Upconversion System Based In A 1342 Nm Yvo4nd3 Laser Using Type Ii Phase Matching In A Bulk Ktp Crystal Combined With A Polarizing Beam Splitter

• doi: 10.1109/CLEOE-EQEC.2017.8086483
• title: Miniaturized intra-cavity image up-conversion system based in a 1342 nm YVO4:Nd3+ laser using Type II phase matching in a bulk KTP crystal combined with a polarizing beam splitter
• publisher: IEEE
• isbn: 978-1-5090-6737-4
• issn:
• rank: 3012
• access_type: LOCKED
• content_type: Conferences
• abstract: Non-linear image up-conversion [1] based on intra-cavity sum-frequency mixing an external image with a laser beam in continuous wave (CW) solid-state lasers has proven to be a useful resource to display real-time infrared images in standard video cameras based on CCD or CMOS 2-D silicon focal plane array sensors [2]. The up-converted image resolution achievable with this technique is known to improve by using the largest laser beam size compatible with the nonlinear crystal cross sectional aperture [2, 3]. Whilst quasi-phase matching in non-linear poled crystals like PPLN or PPKTP provide higher up-conversion efficiencies than perfect phase matching in bulk crystals of lower effective non-linear coefficients, the present fabrication techniques for poled crystals limit their cross-sectional apertures for the mixing laser beam. High CW infrared-to-green intra-cavity second harmonic generation conversion efficiencies at modest diode pump powers are however, routinely achieved in widespread commercially available composite lasers (green laser pointers). They are based on Type II phase-matching in bulk KTP crystals of potentially greater cross sectional aperture, by gluing the KTP crystal to a Nd3+:YVO4 laser crystal, and by depositing dielectric mirrors directly on the flat crystal facets. A similar performance can well be expected in the case of sum-frequency mixing (SFM). In particular, Type II phase-matching allows for perhaps the most compact realization of intra-cavity SFM image up-conversion systems of this type, as a simple polarizing beam splitter eases coupling the incoming image with the laser, in contrast to present usual techniques based on dichroic beam splitters [2, 3]. Here, we present a first example of such an image up-conversion system in a miniaturized architecture. In our case, and only for illustration purposes, we have intra-cavity SFM a pulsed 1064 nm infrared image with a 1342 nm CW laser in a KTP crystal to yield a yellow up-converted image at around 593 nm.
• article_number: 8086483
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8086483
• html_url: https://ieeexplore.ieee.org/document/8086483/
• abstract_url: https://ieeexplore.ieee.org/document/8086483/
• 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: 1
• citing_patent_count: 0
• download_count: 81
• insert_date: 20171030
• index_terms:
  • ieee_terms:
    • Signal to noise ratio
    • Computer science
    • Laser excitation
    • Dielectrics
    • Mirrors
    • Charge coupled devices
    • Europe
  • dynamic_index_terms:
    • Beam Splitter
    • Phase Matching
    • Polarization Beam Splitter
    • Laser Beam
    • Diode Laser
    • Continuous Wave
    • Second Harmonic Generation
    • Solid-state Laser
    • Solid Laser
    • Realistic Systems
    • Focal Length Of Lens
    • Laser Pointer
    • Standard Camera
    • Dichroic Beam Splitter
    • Nonlinear Crystal
    • Nonlinear Photonic Crystals
    • Dielectric Mirror
    • Bragg Mirrors
    • Simple Beam
• 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: Juan Capmany
    Affiliation: Communications Engineering Dpartment, Universidad Miguel Hernández, Elche, Spain
    Author URL: https://ieeexplore.ieee.org/author/37277073700
    ID: 37277073700
    Order: 1
    Author Affiliations:
    • Communications Engineering Dpartment, Universidad Miguel Hernández, Elche, Spain
  • Author Name: Adrián J. Torregrosa
    Affiliation: Communications Engineering Dpartment, Universidad Miguel Hernández, Elche, Spain
    Author URL: https://ieeexplore.ieee.org/author/37394801000
    ID: 37394801000
    Order: 2
    Author Affiliations:
    • Communications Engineering Dpartment, Universidad Miguel Hernández, Elche, Spain
  • Author Name: Haroldo Maestre
    Affiliation: Communications Engineering Dpartment, Universidad Miguel Hernández, Elche, Spain
    Author URL: https://ieeexplore.ieee.org/author/37394802000
    ID: 37394802000
    Order: 3
    Author Affiliations:
    • Communications Engineering Dpartment, Universidad Miguel Hernández, Elche, Spain
  • Author Name: María L. Rico
    Affiliation: Computer Science Department, Universidad de Alicante, Spain
    Author URL: https://ieeexplore.ieee.org/author/37271099700
    ID: 37271099700
    Order: 4
    Author Affiliations:
    • Computer Science Department, Universidad de Alicante, Spain

Image Sensor

• sensor_type: CMOS
• resolution: not specified
• dynamic_range: not specified
• pixel_size: not specified
• dark_current: not specified

Optical Data

• focal_length: not specified
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

Applications & Benefits

• cell_imaging: Applications in smartphones, medical devices, and automotive systems.
• benefits: Enables digital imaging and enhances sensor performance.

Supporting Organizations

• supported_by: not specified

Manuscript Details

• publication_date: 25-29 June 2017

Relevancy Score

• score: 8
• missing_fields:
  • resolution
  • 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

Processed JSON Filename

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