Key Spectre publications
- v0: Ashhurst et al, 2019, Mass Cytometry: Methods and Protocols (referred to at the time as ‘CAPX’)
- v1: Ashhurst et al, 2021, Cytometry A
User stats
Since the launch of our hosting website in March 2021, the software and associated protocols have attracted >4700 unique users (as of August 2022), averaging 330 new users per month from across the world, including Australia (25.7%), United States (26.6%), Germany (11.08%), United Kingdom (5.1%), China (4.44%), among others.
Works citing Spectre
Our software and associated analysis protocols have been cited in at least 44 publications since 2018, both with our team and independently, in prestigious journals such as Cell, Nature Immunology, and Blood. It is also a featured analysis package for the Human Cell Atlas project. Spectre has been used in the study of COVID-19 pathogenesis, vaccine responses, NK cell biology, multiple myeloma, pediatric burns, multiple sclerosis, bone marrow transplantation, and cerebral malaria, among others.
Cited in pre-prints
- Ryan FJ et al, 2022, medRxiv
- Teo et al, 2022, bioRxiv
- Ashhurst A et al, 2022, Research Square (pre-print)
Cited in research
- León-Lara et al, 2022, Frontiers in Immunology
- Baker et al, 2022, USYD
- Souza-Fonseca-Guimaraes et al, 2022, Cancer Immunology
- Bartolo et al, 2022, Science Immunology
- Verstegen et al, 2022, eLife
- Putri et al, 2022, Cytometry A
- Zhang et al, 2022, Nature Communications
- West et al, 2022, Journal of Neuroinflammation
- Marsh-Wakefield et al, 2022, Immunology and Cell Biology
- Chedid et al, 2022, Frontiers in Immunology
- León-Lara et al, 2022, Frontiers in Immunology
- Spiteri et al, 2022, Frontiers in Immunology
- Liechti et al, 2021, Nature Immunology
- Vick et al, 2021, Science Advances
- Spiteri et al, 2021, Journal of Neuroinflammation
- Koutsakos et al 2021, Cell Reports Medicine
- Ferrell et al 2021, Mucosal Immunology
- Putri et al 2021, Bioinformatics
- Ng et al 2020, Nature Immunology
- Vuckovic et al 2020, Blood Advances
- Johnson et al 2020, Frontiers in Immunology
- Ferrer-Font et al, 2020, Cytometry Part A
- Marsh-Wakefield et al 2020, Clinical and Translational Immunology
- Pirozyan 2020, Fronteirs in Immunology
- Counoupas et al 2020, BioRxiv
- Shinko et al 2019, Frontiers in Immunology
- Hayashida et al 2019, J Neuroinflam
- Marsh-Wakefield et al 2019, Frontiers in immunology
- Stifter et al 2019, Cell Reports
- Stern et al 2018, Frontiers in Immunology
- McGuire et al 2018, Cancer Immunology
- Campbell et al 2018, Plos Pathogens
- Jung et al 2018, J Immunol
- Roediger et al 2018, Cell
- Niewold et al 2018, Communications Biology
Cited in review
- Marsh-Wakefield et al, 2022, Therapeutic Advances in Medical Oncology
- Botta et al, 2022, Blood Advances
- Opzoomer et al, 2021, eLife
- Marsh-Wakefield et al, 2021, Immunology and Cell Biology
- Ye et al, 2021, Blood and iScience
- Spiteri et al 2020, Frontiers in Immunology
From evidence at conferences, online posts, or feedback from users, we know that these tools are in use in a wide range of contexts, including universities, research institutions, and biotechnology companies. These tools have also been referenced in a number of online forums and posts.
Select presentations
- Neurology 2020: Alemtuzumab, B cells and multiple sclerosis, T cells and multiple sclerosis
- Cancer Research, 2019
- Annual Meeting of the German Society for Immunology, 2017
- International Congress of Immunology, 2016
Online forums and posts
- ResearchGate: What are the best R packages for flow cytometric data analysis?
- CyTOForum: FlowJo transformation before clustering
- CyTOForum: Data representation
- LinkedIn: Clinical studies, immunotherapy, and more in the Immune Monitoring Biweekly (Issue 27)
Spectre has also featured prominently in community workshops, such as the ‘high-dimensional analysis homeshow’ in 2020, hosted by the Australian Cytometry Society and Australia and New Zealand society for Immunology.