Digital removal of autofluorescence from microscopy images
Keyword(s):
AbstractAutofluorescence is a long-standing problem that has hindered fluorescence microscopy image analysis. To address this, we have developed a method that identifies and removes autofluorescent signals from multi-channel images post acquisition. We demonstrate the broad utility of this algorithm in accurately assessing protein expression in situ through the removal of interfering autofluorescent signals.Availability and implementationhttps://ellispatrick.github.io/[email protected] informationSupplementary Figs. 1–13
2011 ◽
Vol 243
(3)
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pp. 284-292
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Keyword(s):
1993 ◽
Vol 41
(12)
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pp. 1833-1840
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