A Staredown Videorate Highthroughput Hyperspectral Imaging System And Its Applications In Biological Sample Sensing

• doi: 10.1109/JSEN.2023.3308394
• title: A Stare-Down Video-Rate High-Throughput Hyperspectral Imaging System and Its Applications in Biological Sample Sensing
• publisher: IEEE
• isbn:
• issn: 2379-9153
• rank: 937
• access_type: LOCKED
• content_type: Journals
• abstract: Hyperspectral imaging (HSI) combines spectroscopy and 2-D imaging to reveal sample composition and properties. Video level HSI helps to observe and analyze molecular features in dynamic processes. However, maintaining a high imaging speed will sacrifice spectral and spatial resolution. For real-time dynamic biological samples monitoring with high spectral and spatial resolution, this work proposes a novel HSI system, which includes a high-speed galvo mirror and a 10-Gb ethernet port CMOS sensor for spatial scanning and data acquisition. The galvo mirror can scan spatial light, accelerating the collection rate of hyperspectral cubes to the video level. The CMOS sensor can directly collect spectral spatial optical data at a speed of 1600 frames/s and synchronously outputs the data. Theoretically, this system can achieve ${N}$ cubes/s with $624\times $ (1600/ ${N}$ ) $\times500$ resolutions, whose spectral bands and resolution are 500 and 3–5 nm, respectively. This is the first time hyperspectral data have been obtained at such a high throughput and cube rate. Chlorophyll sensing and mouse tumor localization were carried out to verify the system effectiveness. Hyperspectral videos of human palms both under stress and in a relaxed state, and hyperspectral videos of jellyfish navigation through water are recorded, considering the signal-to-noise ratio, the acquisition speed is reduced to one cube per second, and the acquisition cube size is expanded to $624\times 1600\times500$ . Then, spectral data are extracted from keyframes of the video to observe changes in molecular information. This promising tool offers great potential for living being detection.
• article_number: 10234213
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10234213
• html_url: https://ieeexplore.ieee.org/document/10234213/
• abstract_url: https://ieeexplore.ieee.org/document/10234213/
• publication_title: IEEE Sensors Journal
• conference_location:
• conference_dates:
• publication_number: 7361
• is_number: 10269339
• publication_year: 2023
• publication_date: 1 Oct.1, 2023
• start_page: 23629
• end_page: 23637
• citing_paper_count: 23
• citing_patent_count: 0
• download_count: 497
• insert_date: 20230829
• index_terms:
  • ieee_terms:
    • Imaging
    • Sensors
    • Mirrors
    • Hyperspectral imaging
    • Streaming media
    • Spatial resolution
    • Lenses
  • author_terms:
    • High throughput
    • hyperspectral video acquisition
    • noninvasive detection
    • real time
  • dynamic_index_terms:
    • Hyperspectral System
    • Hyperspectral Imaging System
    • High-resolution
    • Spatial Resolution
    • Spectral Data
    • Tumor Location
    • Spectral Resolution
    • Relaxed State
    • Relaxed Conditions
    • Jellyfish
    • High Spectral Resolution
    • Imaging Speed
    • Hyperspectral Cube
    • Tumor Tissues
    • Light Source
    • Light Intensity
    • Image Quality
    • Absorption Peak
    • Frame Rate
    • Target Area
    • Normalized Difference Vegetation Index
    • NDVI
    • Spectral Imaging
    • Spectral Tomography
    • Peak Signal-to-noise Ratio
    • PSNR
    • Stretch Ratio
    • Video Frame Rate
    • Scanning Angle
    • Abdomen Of Mice
    • Mouse Abdominal Cavity
    • Mouse Abdomen
    • Abdomen Of Each Mouse
    • Reflectance Spectra
    • Calibration Algorithm
    • Voltage Signal
    • Small Angle Approximation
• authors:
  • Author Name: Yunfei Li
    Affiliation: School of Biomedical Engineering, Hainan University, Haikou, China
    Author URL: https://ieeexplore.ieee.org/author/37090029845
    ID: 37090029845
    Order: 1
    Author Affiliations:
    • School of Biomedical Engineering, Hainan University, Haikou, China
  • Author Name: Fuzhou Shen
    Affiliation: Mechanical and Electrical Engineering College, Hainan University, Haikou, China
    Author URL: https://ieeexplore.ieee.org/author/37089437019
    ID: 37089437019
    Order: 2
    Author Affiliations:
    • Mechanical and Electrical Engineering College, Hainan University, Haikou, China
  • Author Name: Lantian Hu
    Affiliation: School of Biomedical Engineering, Hainan University, Haikou, China
    Author URL: https://ieeexplore.ieee.org/author/37090031360
    ID: 37090031360
    Order: 3
    Author Affiliations:
    • School of Biomedical Engineering, Hainan University, Haikou, China
  • Author Name: Ziyue Lang
    Affiliation: School of Food Science and Engineering College, Hainan University, Haikou, China
    Author URL: https://ieeexplore.ieee.org/author/37090031028
    ID: 37090031028
    Order: 4
    Author Affiliations:
    • School of Food Science and Engineering College, Hainan University, Haikou, China
  • Author Name: Qian Liu
    Affiliation: School of Biomedical Engineering and the Key Laboratory of Biomedical Engineering of Hainan Province, Hainan University, Haikou, China
    Author URL: https://ieeexplore.ieee.org/author/37090028322
    ID: 37090028322
    Order: 5
    Author Affiliations:
    • School of Biomedical Engineering and the Key Laboratory of Biomedical Engineering of Hainan Province, Hainan University, Haikou, China
  • Author Name: Fuhong Cai
    Affiliation: School of Biomedical Engineering and the Key Laboratory of Biomedical Engineering of Hainan Province, Hainan University, Haikou, China
    Author URL: https://ieeexplore.ieee.org/author/37646130400
    ID: 37646130400
    Order: 6
    Author Affiliations:
    • School of Biomedical Engineering and the Key Laboratory of Biomedical Engineering of Hainan Province, Hainan University, Haikou, China
  • Author Name: Ling Fu
    Affiliation: Department of Physics, School of Science, Hainan University, Haikou, China
    Author URL: https://ieeexplore.ieee.org/author/37090028675
    ID: 37090028675
    Order: 7
    Author Affiliations:
    • Department of Physics, School of Science, Hainan University, Haikou, China

Image Sensor

• sensor_type: CMOS
• resolution: 10 MP
• dynamic_range: Not explicitly stated
• pixel_size: Not explicitly stated
• dark_current: Not explicitly stated

Optical Data

• focal_length: 35 mm for first lens, 50 mm for second lens
• aperture: Not explicitly stated
• field_of_view: Not explicitly stated
• distortion: Not explicitly stated

Performance Metrics

• frame_rate: 1600 frames/s
• signal_to_noise_ratio: Not explicitly stated
• sensitivity: Not explicitly stated
• shutter_speed: Not explicitly stated
• power_consumption: Not explicitly stated
• noise: Not explicitly stated

Applications & Benefits

• cell_imaging: Hyperspectral imaging is utilized for real-time monitoring of biological samples, tumor localization, and analysis of dynamic processes such as blood oxygen changes.
• benefits: The system provides high spectral and spatial resolution while achieving a high data processing speed, making it suitable for various biomedical applications.

Supporting Organizations

• supported_by: Major Science and Technology Project of Hainan Province under Grant ZDKJ202006

Manuscript Details

• publication_date: 1 Oct.1, 2023

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • temporal noise
  • fixed-pattern noise
  • analog-to-digital conversion
  • on-chip colour filters
  • global shutter
  • rolling shutter
  • backside illumination

Processed JSON Filename

request_26d99788-76f2-40b6-b76a-800677f5be10-a_staredown_videorate_highthroughput_hyperspectral_imaging_system_and_its_applications_in_biological_sample_sensing.json