Josef Spidlen
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Explore the profile of Josef Spidlen including associated specialties, affiliations and a list of published articles.
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31
Citations
1533
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Recent Articles
1.
SingletSeeker: an unsupervised clustering approach for automated singlet discrimination in cytometry
Colasurdo M, Ferrer-Font L, Middlebrook A, Konecny A, Prlic M, Spidlen J
Cytometry B Clin Cytom
. 2024 Nov;
PMID: 39584453
Flow cytometry is a high-throughput, high-dimensional technique that generates large sets of single-cell data. Prior to analyzing this data, it is common to exclude any events that contain two or...
2.
Roca C, Burton O, Gergelits V, Prezzemolo T, Whyte C, Halpert R, et al.
Nat Commun
. 2021 May;
12(1):2890.
PMID: 34001872
Compensating in flow cytometry is an unavoidable challenge in the data analysis of fluorescence-based flow cytometry. Even the advent of spectral cytometry cannot circumvent the spillover problem, with spectral unmixing...
3.
Spidlen J, Moore W, Parks D, Goldberg M, Blenman K, Cavenaugh J, et al.
Cytometry A
. 2020 Sep;
99(1):100-102.
PMID: 32881398
FCS 3.2 is a revision of the flow cytometry data standard based on a decade of suggested improvements from the community as well as industry needs to capture instrument conditions...
4.
Blenman K, Spidlen J, Parks D, Moore W, Treister A, Leif R, et al.
Cytometry A
. 2020 Sep;
99(1):103-106.
PMID: 32881392
Since the advent of microscopy imaging and flow cytometry, there has been an explosion in the number of probes, consisting of a component binding to an analyte and a detectable...
5.
Belkina A, Ciccolella C, Anno R, Halpert R, Spidlen J, Snyder-Cappione J
Nat Commun
. 2019 Nov;
10(1):5415.
PMID: 31780669
Accurate and comprehensive extraction of information from high-dimensional single cell datasets necessitates faithful visualizations to assess biological populations. A state-of-the-art algorithm for non-linear dimension reduction, t-SNE, requires multiple heuristics and...
6.
Cossarizza A, Chang H, Radbruch A, Acs A, Adam D, Adam-Klages S, et al.
Eur J Immunol
. 2019 Oct;
49(10):1457-1973.
PMID: 31633216
These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community. They provide the theory and key practical aspects of flow cytometry...
7.
Parks D, Moore W, Brinkman R, Chen Y, Condello D, El Khettabi F, et al.
Cytometry A
. 2018 Sep;
93(11):1087-1091.
PMID: 30244531
We demonstrate improved methods for making valid and accurate comparisons of fluorescence measurement capabilities among instruments tested at different sites and times. We designed a suite of measurements and automated...
8.
Cossarizza A, Chang H, Radbruch A, Akdis M, Andra I, Annunziato F, et al.
Eur J Immunol
. 2017 Oct;
47(10):1584-1797.
PMID: 29023707
No abstract available.
9.
Parks D, El Khettabi F, Chase E, Hoffman R, Perfetto S, Spidlen J, et al.
Cytometry A
. 2017 Feb;
91(3):232-249.
PMID: 28160404
We developed a fully automated procedure for analyzing data from LED pulses and multilevel bead sets to evaluate backgrounds and photoelectron scales of cytometer fluorescence channels. The method improves on...
10.
Spidlen J, Brinkman R
Cytometry B Clin Cytom
. 2016 Jun;
94(1):196-198.
PMID: 27342384
A fundamental tenet of scientific research is that published results including underlying data should be open to independent validation and refutation. Data sharing encourages collaboration, facilitates quality and reduces redundancy...