Enhanced Image Sensor Module For Headmounted Microscopes

• doi: 10.1109/EMBC.2018.8512387
• title: Enhanced Image Sensor Module for Head-Mounted Microscopes
• publisher: IEEE
• isbn: 978-1-5386-3647-3
• issn: 1557-170X
• rank: 2392
• access_type: LOCKED
• content_type: Conferences
• abstract: Several research groups have developed head-mounted fluorescence microscopes as a modality for recording neural activity in freely behaving mice. The current designs have shown exciting results from in vivo imaging of the bright dynamics of genetically encoded calcium indicators (GECI). However, despite their potential, head-mounted microscopes are not in use with genetically encoded voltage indicators (GEVI) or bioluminescence indicators. Due to its ability to match the temporal resolution of neuron spiking, GEVIs offer great benefits to experiments designed to provide feedback after real-time detection of specific neural activity such as the less than 250ms replay events that can occur in the hippocampus. Orthogonally, the emerging bioluminescence activity reporters have the potential to eliminate autofluorescence and photobleaching that can occur in fluorescence imaging. There are two important properties of the head-mounted microscope’s image sensor affecting the ability to image GEVIs and bioluminescence indicators. First, the low signal to noise ratio (SNR) characteristics of GEVIs and bioluminescent indicators make signal detection difficult. Second, in order to take advantage of the GEVIs faster fluorescence kinetics, the image sensor must be capable of matching frame rates. Here, we present the design of a new imaging module for head-mounted microscopes incorporating the latest CMOS sensor technology aimed at increasing image sensor sensitivity and frame rates for use in real-time detection experiments. The design builds off an existing open-source project and can integrate into the existing data acquisition hardware and microscope housing.
• article_number: 8512387
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8512387
• html_url: https://ieeexplore.ieee.org/document/8512387/
• abstract_url: https://ieeexplore.ieee.org/document/8512387/
• publication_title: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
• conference_location: Honolulu, HI, USA
• conference_dates: 18-21 July 2018
• publication_number: 8471725
• is_number: 8512178
• publication_year: 2018
• publication_date: 18-21 July 2018
• start_page: 826
• end_page: 829
• citing_paper_count: 5
• citing_patent_count: 0
• download_count: 312
• insert_date: 20181028
• index_terms:
  • ieee_terms:
    • Light emitting diodes
    • Signal to noise ratio
    • Image sensors
    • Microscopy
    • Fluorescence
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Sensor Module
    • Head-mounted Microscope
    • Housing
    • Signal-to-noise
    • Signal-to-noise Ratio
    • Signal To Noise
    • Signal To Noise Ratio
    • Hippocampus
    • Hippocampal
    • Bioluminescence
    • Frame Rate
    • Photobleaching
    • Calcium Imaging
    • Calcium Indicator
    • Latest Technology
    • Characteristic Indicators
    • Indicative Features
    • Lentiviral
    • Lentivirus
    • Microspheres
    • Microbeads
    • Average Signal
    • Printed Circuit Board
    • True Signal
    • Human Neural Progenitor Cells
    • Data Acquisition Unit
    • Latest Image
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5386-3647-3, isbnType: New-2005
  • format: USB ISBN, value: 978-1-5386-3645-9, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5386-3646-6, isbnType: New-2005
• authors:
  • Author Name: Jill Juneau
    Affiliation: Rice University, Houston, TX, US
    Author URL: https://ieeexplore.ieee.org/author/37086496883
    ID: 37086496883
    Order: 1
    Author Affiliations:
    • Rice University, Houston, TX, US
  • Author Name: Guillaume Duret
    Affiliation: Rice University, Houston, TX, US
    Author URL: https://ieeexplore.ieee.org/author/37086493660
    ID: 37086493660
    Order: 2
    Author Affiliations:
    • Rice University, Houston, TX, US
  • Author Name: Jacob Robinson
    Affiliation: Rice University, Houston, TX, US
    Author URL: https://ieeexplore.ieee.org/author/37554260800
    ID: 37554260800
    Order: 3
    Author Affiliations:
    • Rice University, Houston, TX, US
  • Author Name: Caleb Kemere
    Affiliation: Rice University, Houston, TX, US
    Author URL: https://ieeexplore.ieee.org/author/37265887000
    ID: 37265887000
    Order: 4
    Author Affiliations:
    • Rice University, Houston, TX, US

Image Sensor

• sensor_type: CMOS
• resolution: 1920 x 1080
• dynamic_range: 66 dB
• pixel_size: 2.9µm x 2.9µm
• dark_current: 5 e-/s

Optical Data

• focal_length: 15 mm
• aperture: f/2.8
• field_of_view: not specified
• distortion: not specified

Performance Metrics

• frame_rate: 60 fps (720p), 120 fps (1080p with LVDS)
• signal_to_noise_ratio: 40.5 dB
• sensitivity: 8.5 p
• noise: 5 e-

Applications & Benefits

• cell_imaging: Used for imaging neurons expressing genetically encoded voltage indicators and calcium indicators.
• benefits: Increased sensitivity under low-light conditions leading to improved signal detection and longer experimentation times without photobleaching.

Supporting Organizations

• supported_by: NSF CAREER award (CBET-1351692), HFSP Young Investigators award (RGY0088).

Manuscript Details

• publication_date: 18-21 July 2018

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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