83 citations · 285 across the 7 of their papers we have counts for
8 papers
A thermoelastic limit on the focal intensity in Fabry-Pérot cavities
Jeremy J. Axelrod, Lothar Maisenbacher, Ashwin Singh +4
Light in the mode of a Fabry-Pérot cavity heats the mirror surfaces via optical absorption, causing thermoelastic deformation of the mirror substrates, which in turn dictates the s…
Crossed laser phase plates for transmission electron microscopy
Petar N. Petrov, Jessie T. Zhang, Jeremy J. Axelrod +2
For decades since the development of phase-contrast optical microscopy, an analogous approach has been sought for maximizing the image contrast of weakly-scattering objects in tran…
Modern approaches to improving phase contrast electron microscopy
Jeremy J. Axelrod, Jessie T. Zhang, Petar N. Petrov +2
Although defocus can be used to generate partial phase contrast in transmission electron microscope images, cryo-electron microscopy (cryo-EM) can be further improved by the develo…
High-Power Near-Concentric Fabry-Perot Cavity for Phase Contrast Electron Microscopy
Carter Turnbaugh, Jeremy J. Axelrod, Sara L. Campbell +8
Transmission electron microscopy (TEM) of vitrified biological macromolecules (cryo-EM) is limited by the weak phase contrast signal that is available from such samples. Using a ph…
Addressing systematic errors in axial distance measurements in single-emitter localization microscopy
Petar N. Petrov, W. E. Moerner
Nanoscale localization of point emitters is critical to several methods in optical fluorescence microscopy, including single-molecule super-resolution imaging and tracking. While t…
BGnet: Accurate and rapid background estimation in single-molecule localization microscopy with deep neural nets
Leonhard Möckl, Anish R. Roy, Petar N. Petrov +1
Background fluorescence, especially when it exhibits undesired spatial features, is a primary factor for reduced image quality in optical microscopy. Structured background is parti…
Accurate phase retrieval of complex point spread functions with deep residual neural networks
Leonhard MÖckl, Petar N. Petrov, W. E. Moerner
Phase retrieval, i.e. the reconstruction of phase information from intensity information, is a central problem in many optical systems. Here, we demonstrate that a deep residual ne…
Measurement-based estimation of global pupil functions in 3D localization microscopy
Petar N. Petrov, Yoav Shechtman, W. E. Moerner
We report the use of a phase retrieval procedure based on maximum likelihood estimation (MLE) to produce an improved, experimentally calibrated model of a point spread function (PS…