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Samuel T. Hess

Researcher at University of Maine

Publications -  75
Citations -  11142

Samuel T. Hess is an academic researcher from University of Maine. The author has contributed to research in topics: Microscopy & Photoactivated localization microscopy. The author has an hindex of 28, co-authored 68 publications receiving 10278 citations. Previous affiliations of Samuel T. Hess include Yale University & National Institutes of Health.

Papers
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Book ChapterDOI

Dances with Membranes: Breakthroughs from Super-resolution Imaging.

TL;DR: This chapter discusses how the development of super-resolution microscopy has led to fundamental advances in the field of biological membrane organization, and summarizes the history and some models explaining how proteins are organized in cell membranes, and gives an overview of various super- Resolution techniques and methods of quantifying super- resolution data.
Patent

Non-coherent light microscopy

TL;DR: In this paper, an optical microscope with heightened resolution and capable of providing three dimensional images is described. But it is not shown how the camera can detect the luminescence from the probe molecules.
Journal ArticleDOI

A Quantitative Comparison of the Photophysical Properties of Selected Quantum Dots and Organic Fluorophores

TL;DR: In this paper, the authors compared the photophysical properties of commercial CdSe/ZnS QDs against commonly used organic fluorophores relevant to biological applications using fluorescence correlation spectroscopy (FCS).
Journal ArticleDOI

Nanoscale Imaging of Caveolin-1 Membrane Domains In Vivo

TL;DR: The results demonstrate the successful image acquisition of super-resolution images in a living vertebrate organism, opening several opportunities to answer more dynamic biological questions in vivo at the previously inaccessible nanoscale.
Book ChapterDOI

Chapter 12: Nanoscale biological fluorescence imaging: breaking the diffraction barrier.

TL;DR: Fluorescence photoactivation localization microscopy is an example of such an ultra-high-resolution method which can image living or fixed cells with demonstrated lateral resolution of better than 20 nm.