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AFid: A tool for automated identification and exclusion of autofluorescent objects from microscopy images
Heeva Baharlou, Nicolas P Canete, Kirstie M Bertram, Kerrie J Sandgren, Anthony L Cunningham, Andrew N Harman, Ellis Patrick
doi: https://doi.org/10.1101/566315
Heeva Baharlou
1The Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia
2Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, NSW, Australia
Nicolas P Canete
1The Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia
2Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, NSW, Australia
Kirstie M Bertram
1The Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia
2Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, NSW, Australia
Kerrie J Sandgren
1The Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia
2Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, NSW, Australia
Anthony L Cunningham
1The Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia
2Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, NSW, Australia
Andrew N Harman
1The Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia
2Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, NSW, Australia
Ellis Patrick
1The Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia
3School of Mathematics and Statistics, University of Sydney, Sydney, NSW, Australia
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Posted November 26, 2019.
AFid: A tool for automated identification and exclusion of autofluorescent objects from microscopy images
Heeva Baharlou, Nicolas P Canete, Kirstie M Bertram, Kerrie J Sandgren, Anthony L Cunningham, Andrew N Harman, Ellis Patrick
bioRxiv 566315; doi: https://doi.org/10.1101/566315
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