HIGHLIGHTS
- who: Microscopy et al. from the (UNIVERSITY) have published the research work: Contextual bandit optimization of super-resolution microscopy, in the Journal: (JOURNAL)
- what: The authors aim to optimize the parameters of DyMIN, which are highly dependant on the state of the current sample , as shown in Figure 11. Interestingly, the performance of the model was similar or worse indicating that pretraining the vision layer, at least for this specific task, does not help the model infer the objective function faster . The model could learn a more efficient mapping between the imaging parameters/context and . . .
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