Enhancing reproducibility in single cell research with biocytometry: An inter-laboratory study.

Academic Article

Abstract

  • Biomedicine today is experiencing a shift towards decentralized data collection, which promises enhanced reproducibility and collaboration across diverse laboratory environments. This inter-laboratory study evaluates the performance of biocytometry, a method utilizing engineered bioparticles for enumerating cells based on their surface antigen patterns. In centralized and aggregated inter-lab studies, biocytometry demonstrated significant statistical power in discriminating numbers of target cells at varying concentrations as low as 1 cell per 100,000 background cells. User skill levels varied from expert to beginner capturing a range of proficiencies. Measurement was performed in a decentralized environment without any instrument cross-calibration or advanced user training outside of a basic instruction manual. The results affirm biocytometry to be a viable solution for immunophenotyping applications demanding sensitivity as well as scalability and reproducibility and paves the way for decentralized analysis of rare cells in heterogeneous samples.
  • Authors

  • Fikar, Pavel
  • Alvarez, Laura
  • Berne, Laura
  • Cienciala, Martin
  • Kan, Christopher
  • Kasl, Hynek
  • Luo, Mona
  • Novackova, Zuzana
  • Ordonez, Sheyla
  • Sramkova, Zuzana
  • Holubova, Monika
  • Lysak, Daniel
  • Avery, Lyndsay
  • Caro, Andres A
  • Crowder, Roslyn N
  • Diaz-Martinez, Laura A
  • Donley, David W
  • Giorno, Rebecca R
  • Reed, Irene K Guttilla
  • Hensley, Lori L
  • Johnson, Kristen
  • Kim, Audrey Y
  • Kim, Paul
  • LaGier, Adriana J
  • Newman, Jamie J
  • Padilla-Crespo, Elizabeth
  • Reyna, Nathan S
  • Tsotakos, Nikolaos
  • Al-Saadi, Noha N
  • Appleton, Tayler
  • Arosemena-Pickett, Ana
  • Bell, Braden A
  • Bing, Grace
  • Bishop, Bre
  • Forde, Christa
  • Foster, Michael J
  • Gray, Kassidy
  • Hasley, Bennett L
  • Johnson, Kennedy
  • Jones, Destiny J
  • LaShall, Allison C
  • McGuire, Kennedy
  • McNaughton, Naomi
  • Morgan, Angelina M
  • Norris, Lucas
  • Ossman, Landon A
  • Rivera-Torres, Paollette A
  • Robison, Madeline E
  • Thibodaux, Kathryn
  • Valmond, Lescia
  • Georgiev, Daniel
  • Publication Date

  • 2024
  • Published In

  • PLoS One  Journal
  • Keywords

  • Flow Cytometry
  • Humans
  • Immunophenotyping
  • Laboratories
  • Reproducibility of Results
  • Single-Cell Analysis
  • Digital Object Identifier (doi)

    Start Page

  • e0314992
  • Volume

  • 19
  • Issue

  • 12