From collection to analysis: Developing data pipelines for imaging FlowCytobot to support ecological monitoring in the waters of Alaska

Details

• Personal Author:
  Kurtay, G. ; Staneva, V. ; Nielsen, J. M. ; Gann, J. C. ; Mordy, C. W. ; Tabisola, H.
• Corporate Authors:
  Alaska Fisheries Science Center (U.S.) ; Auke Bay Laboratories (Juneau, Alaska) ; Cooperative Institute for Climate, Ocean, and Ecosystem Studies. ; Pacific Marine Environmental Laboratory (U.S.) ; eScience Institute.
• NOAA Program & Office:
  NMFS (National Marine Fisheries Service) ; AFSC (Alaska Fisheries Science Center) ; CICOES (Cooperative Institute for Climate, Ocean and Ecosystem Studies)
• Description:
  Phytoplankton are key to ocean ecosystem production and global carbon cycling. The Imaging FlowCytobot (IFCB) allows for monitoring of these microscopic organisms by capturing detailed images of plankton particles in water samples.
• Keywords:
  • Phytoplankton
  • FlowCytobot
  • Cytometry
  • Imaging
  • Ecosystem
  • Jupyter
  • Python
• Series:
  NOAA technical memorandum NMFS-AFSC ; 506
• DOI:
  https://doi.org/10.25923/fwpq-my83
• Format:
  pdf
• Document Type:
  Technical Memorandum
• License:
  https://creativecommons.org/publicdomain/zero/1.0/
• Rights Information:
  CC0 Public Domain
• Compliance:
  Submitted
• Download URL:
  https://repository.library.noaa.gov/view/noaa/72400/noaa_72400_DS1.pdf
• File Type:
  [PDF - 1.61 MB]
• Collection(s):
  Office of Oceanic and Atmospheric Research (OAR) ; NOAA Cooperative Institutes ; National Marine Fisheries Service (NMFS)
• Main Document Checksum:
  urn:sha-512:af4407e00c52a60fe63d78f64845a86631e32d730ccab3837cf28d7aea9c383a74d3b20a56880a8de2f3f7bc9d44487067b6434699d0a980c92b5662c265a568