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Improved compensation in flow cytometry by multivariable optimization
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| Zeitschriftentitel: | Cytometry Part A |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Cytometry Part A, 79A, 2011, 5, S. 356-360 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
|
| Schlagwörter: |
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Sugár, István P. González‐Lergier, Joanna Sealfon, Stuart C. Sugár, István P. González‐Lergier, Joanna Sealfon, Stuart C. |
|---|---|
| author |
Sugár, István P. González‐Lergier, Joanna Sealfon, Stuart C. |
| spellingShingle |
Sugár, István P. González‐Lergier, Joanna Sealfon, Stuart C. Cytometry Part A Improved compensation in flow cytometry by multivariable optimization Cell Biology Histology Pathology and Forensic Medicine |
| author_sort |
sugár, istván p. |
| spelling |
Sugár, István P. González‐Lergier, Joanna Sealfon, Stuart C. 1552-4922 1552-4930 Wiley Cell Biology Histology Pathology and Forensic Medicine http://dx.doi.org/10.1002/cyto.a.21062 <jats:title>Abstract</jats:title><jats:p>Conventional compensation of flow cytometry (FMC) data of an <jats:italic>N</jats:italic>‐stained sample requires additional data sets, of <jats:italic>N</jats:italic> single‐stained control samples, to estimate the spillover coefficients. Single‐stained controls however are the least rigorous controls because any of the multi‐stained controls are closer to the <jats:italic>N</jats:italic>‐stained sample. In this article, a new, optimization based, compensation method has been developed that is able to use not only single‐ but also multi‐stained controls to improve estimates of the spillover coefficients. The method is demonstrated on a data set from five‐stained dentritic cells (DCs) with five single‐stained and eight multi‐stained controls. This approach is practical and leads to significant improvements in FCM compensation. © 2011 International Society for Advancement of Cytometry</jats:p> Improved compensation in flow cytometry by multivariable optimization Cytometry Part A |
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| title |
Improved compensation in flow cytometry by multivariable optimization |
| title_unstemmed |
Improved compensation in flow cytometry by multivariable optimization |
| title_full |
Improved compensation in flow cytometry by multivariable optimization |
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Improved compensation in flow cytometry by multivariable optimization |
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Improved compensation in flow cytometry by multivariable optimization |
| title_short |
Improved compensation in flow cytometry by multivariable optimization |
| title_sort |
improved compensation in flow cytometry by multivariable optimization |
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Cell Biology Histology Pathology and Forensic Medicine |
| url |
http://dx.doi.org/10.1002/cyto.a.21062 |
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2011 |
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356-360 |
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<jats:title>Abstract</jats:title><jats:p>Conventional compensation of flow cytometry (FMC) data of an <jats:italic>N</jats:italic>‐stained sample requires additional data sets, of <jats:italic>N</jats:italic> single‐stained control samples, to estimate the spillover coefficients. Single‐stained controls however are the least rigorous controls because any of the multi‐stained controls are closer to the <jats:italic>N</jats:italic>‐stained sample. In this article, a new, optimization based, compensation method has been developed that is able to use not only single‐ but also multi‐stained controls to improve estimates of the spillover coefficients. The method is demonstrated on a data set from five‐stained dentritic cells (DCs) with five single‐stained and eight multi‐stained controls. This approach is practical and leads to significant improvements in FCM compensation. © 2011 International Society for Advancement of Cytometry</jats:p> |
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| author | Sugár, István P., González‐Lergier, Joanna, Sealfon, Stuart C. |
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| description | <jats:title>Abstract</jats:title><jats:p>Conventional compensation of flow cytometry (FMC) data of an <jats:italic>N</jats:italic>‐stained sample requires additional data sets, of <jats:italic>N</jats:italic> single‐stained control samples, to estimate the spillover coefficients. Single‐stained controls however are the least rigorous controls because any of the multi‐stained controls are closer to the <jats:italic>N</jats:italic>‐stained sample. In this article, a new, optimization based, compensation method has been developed that is able to use not only single‐ but also multi‐stained controls to improve estimates of the spillover coefficients. The method is demonstrated on a data set from five‐stained dentritic cells (DCs) with five single‐stained and eight multi‐stained controls. This approach is practical and leads to significant improvements in FCM compensation. © 2011 International Society for Advancement of Cytometry</jats:p> |
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| spelling | Sugár, István P. González‐Lergier, Joanna Sealfon, Stuart C. 1552-4922 1552-4930 Wiley Cell Biology Histology Pathology and Forensic Medicine http://dx.doi.org/10.1002/cyto.a.21062 <jats:title>Abstract</jats:title><jats:p>Conventional compensation of flow cytometry (FMC) data of an <jats:italic>N</jats:italic>‐stained sample requires additional data sets, of <jats:italic>N</jats:italic> single‐stained control samples, to estimate the spillover coefficients. Single‐stained controls however are the least rigorous controls because any of the multi‐stained controls are closer to the <jats:italic>N</jats:italic>‐stained sample. In this article, a new, optimization based, compensation method has been developed that is able to use not only single‐ but also multi‐stained controls to improve estimates of the spillover coefficients. The method is demonstrated on a data set from five‐stained dentritic cells (DCs) with five single‐stained and eight multi‐stained controls. This approach is practical and leads to significant improvements in FCM compensation. © 2011 International Society for Advancement of Cytometry</jats:p> Improved compensation in flow cytometry by multivariable optimization Cytometry Part A |
| spellingShingle | Sugár, István P., González‐Lergier, Joanna, Sealfon, Stuart C., Cytometry Part A, Improved compensation in flow cytometry by multivariable optimization, Cell Biology, Histology, Pathology and Forensic Medicine |
| title | Improved compensation in flow cytometry by multivariable optimization |
| title_full | Improved compensation in flow cytometry by multivariable optimization |
| title_fullStr | Improved compensation in flow cytometry by multivariable optimization |
| title_full_unstemmed | Improved compensation in flow cytometry by multivariable optimization |
| title_short | Improved compensation in flow cytometry by multivariable optimization |
| title_sort | improved compensation in flow cytometry by multivariable optimization |
| title_unstemmed | Improved compensation in flow cytometry by multivariable optimization |
| topic | Cell Biology, Histology, Pathology and Forensic Medicine |
| url | http://dx.doi.org/10.1002/cyto.a.21062 |