English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Under the constraint of constant illumination, an information criterion isformulated for the Fisher information that compressed sensing measurements inoptical and transmission electron microscopy contain about the underlyingparameters. Since this approach requires prior knowledge of the signal'ssupport in the sparse basis, we develop a heuristic quantity, the detectivequantum efficiency (DQE), that tracks this information criterion well withoutthis knowledge. It is shown that for the investigated choice of sensingmatrices, and in the absence of read-out noise, i.e. with only Poisson noisepresent, compressed sensing does not raise the amount of Fisher information inthe recordings above that of Shannon sampling. Furthermore, enabled by theDQE's analytical tractability, the experimental designs are optimized byfinding out the optimal fraction of on-pixels as a function of dose andread-out noise. Finally, we introduce a regularization and demonstrate, throughsimulations and experiment, that it yields reconstructions attaining minimummean squared error at experimental settings predicted by the DQE as optimal.

Various Compressed Sensing Set-Ups Evaluated Against Shannon Sampling Under Constraint of Constant Illumination