Computationenabled Lensless Imaging Deepbrain Microscopy
- doi: 10.1364/CLEO_AT.2019.AM2I.5
-
title: Computation-Enabled Lensless Imaging &
Deep-Brain Microscopy
- publisher: IEEE
- isbn: 978-1-7281-3718-6
- issn: 2160-8989
- rank: 1988
- access_type: LOCKED
- content_type: Conferences
-
abstract: We show imaging using only a CMOS image
sensor, and fluorescence microscopy inside the mouse brain using a
surgical needle and an image sensor, both enabled by computation
including machine learning. © 2019 The Author(s)
- article_number: 8750461
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8750461
-
html_url:
https://ieeexplore.ieee.org/document/8750461/
-
abstract_url:
https://ieeexplore.ieee.org/document/8750461/
-
publication_title: 2019 Conference on Lasers and
Electro-Optics (CLEO)
- conference_location: San Jose, CA, USA
- conference_dates: 5-10 May 2019
- publication_number: 8737694
- is_number: 8748931
- publication_year: 2019
- publication_date: 5-10 May 2019
- start_page: 1
- end_page: 2
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 79
- insert_date: 20190701
-
index_terms:
-
ieee_terms:
- Image reconstruction
- Microscopy
- Image sensors
- Mice
- Urban areas
- Cameras
-
dynamic_index_terms:
- Intubation
- Extubation
- Cannula
- Cannulation
- Endotracheal Intubation
- Learning Algorithms
- Machine Learning Algorithms
- Convolutional Neural Network
- Image Classification
- Inverse Problem
- Forward Problem
- Image Sensor
- Camera Sensor
- MNIST Dataset
- MNIST Data Set
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 978-1-7281-3718-6,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-943580-57-6,
isbnType: New-2005
-
authors:
-
Author Name: Brian Rodriguez
Affiliation: Dept. of Electrical & Computer
Engineering, University of Utah, Salt Lake City, UT, USA
Author URL:
https://ieeexplore.ieee.org/author/37086870708
ID: 37086870708
Order: 1
Author Affiliations:
-
Dept. of Electrical & Computer Engineering, University of Utah,
Salt Lake City, UT, USA
-
Author Name: Zhimeng Pan
Affiliation: Dept. of Electrical & Computer
Engineering, University of Utah, Salt Lake City, UT, USA
Author URL:
https://ieeexplore.ieee.org/author/37086872250
ID: 37086872250
Order: 2
Author Affiliations:
-
Dept. of Electrical & Computer Engineering, University of Utah,
Salt Lake City, UT, USA
-
Author Name: Ruipeng Guo
Affiliation: Dept. of Electrical & Computer
Engineering, University of Utah, Salt Lake City, UT, USA
Author URL:
https://ieeexplore.ieee.org/author/37086874986
ID: 37086874986
Order: 3
Author Affiliations:
-
Dept. of Electrical & Computer Engineering, University of Utah,
Salt Lake City, UT, USA
-
Author Name: Naveen Nagarajan
Affiliation: Dept. of Human Genetics, University of
Utah, Salt Lake City, UT, USA
Author URL:
https://ieeexplore.ieee.org/author/37085425326
ID: 37085425326
Order: 4
Author Affiliations:
-
Dept. of Human Genetics, University of Utah, Salt Lake City, UT,
USA
-
Author Name: Mario R. Capecchi
Affiliation: Howard Hughes Medical Institute,
University of Utah, Salt Lake City, UT, USA
Author URL:
https://ieeexplore.ieee.org/author/37085406428
ID: 37085406428
Order: 5
Author Affiliations:
-
Howard Hughes Medical Institute, University of Utah, Salt Lake
City, UT, USA
-
Author Name: Kyle Jenks
Affiliation: Dept. of Electrical & Computer
Engineering, University of Utah, Salt Lake City, UT, USA
Author URL:
https://ieeexplore.ieee.org/author/37086871565
ID: 37086871565
Order: 6
Author Affiliations:
-
Dept. of Electrical & Computer Engineering, University of Utah,
Salt Lake City, UT, USA
-
Author Name: Jason Sheperd
Affiliation: Dept. of Neurobiology & Anatomy,
University of Utah, Salt Lake City, UT, USA
Author URL:
https://ieeexplore.ieee.org/author/37086869581
ID: 37086869581
Order: 7
Author Affiliations:
-
Dept. of Neurobiology & Anatomy, University of Utah, Salt Lake
City, UT, USA
-
Author Name: Rajesh Menon
Affiliation: Dept. of Electrical & Computer
Engineering, University of Utah, Salt Lake City, UT, USA
Author URL:
https://ieeexplore.ieee.org/author/37304741700
ID: 37304741700
Order: 8
Author Affiliations:
-
Dept. of Electrical & Computer Engineering, University of Utah,
Salt Lake City, UT, USA
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 applicable
- aperture: Not applicable
- field_of_view: Not applicable
- distortion: Not applicable
Performance Metrics
Applications & Benefits
-
cell_imaging: Used for imaging genetically modified
cells emitting fluorescence in mice brains, enabling minimally invasive
techniques with high-resolution outcomes.
-
benefits: Utility in imaging applications, particularly
in deep-brain microscopy and lensless systems.
Supporting Organizations
- supported_by: University of Utah
Manuscript Details
- publication_date: 5-10 May 2019
Relevancy Score
- score: 9
-
missing_fields:
- resolution
- dynamic_range
- pixel_size
- dark_current
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
Processed JSON Filename
request_e4f4f3f0-a3c1-4fc3-894d-4ec9966e68bc-computationenabled_lensless_imaging__deepbrain_microscopy.json