What do you mean with "sparse activation"? #142
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Hello! In you article, what do you mean with "Sparse Activation" when you say it is one of the main bottlenecks in SMLM? I don't if you are talking about the neural networks sparse activation or a fluorophore property. You talk about this at the end of the introduction. Thank you very much! |
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Dear Lucas, "sparse activation" in this case refers to the experimental conditions and has nothing to do with the neural network. I hope that answers your question! |
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Great! Thank You! |
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Dear Lucas,
"sparse activation" in this case refers to the experimental conditions and has nothing to do with the neural network.
The fluorophores in the sample are typically sparsely activated to make sure that in a single frame of the acquisition only very few fluorophores are in their on state and their PSFs are well separated. This is necessary because most fitting algorithms cannot deal with overlapping PSFs, whereas DECODE can do that. Because of that, DECODE allows higher activation and therefore also faster SMLM acquisitions.
I hope that answers your question!