Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Kelley D. Sullivan is active.

Publication


Featured researches published by Kelley D. Sullivan.


Biophysical Journal | 2009

Improved Model of Fluorescence Recovery Expands the Application of Multiphoton Fluorescence Recovery after Photobleaching in Vivo

Kelley D. Sullivan; William Sipprell; Edward B. Brown

Multiphoton fluorescence recovery after photobleaching is a well-established microscopy technique used to measure the diffusion of macromolecules in biological systems. We have developed an improved model of the fluorescence recovery that includes the effects of convective flows within a system. We demonstrate the validity of this two-component diffusion-convection model through in vitro experimentation in systems with known diffusion coefficients and known flow speeds, and show that the diffusion-convection model broadens the applicability of the multiphoton fluorescence recovery after photobleaching technique by enabling accurate determination of the diffusion coefficient, even when significant flows are present. Additionally, we find that this model allows for simultaneous measurement of the flow speed in certain regimes. Finally, we demonstrate the effectiveness of the diffusion-convection model in vivo by measuring the diffusion coefficient and flow speed within tumor vessels of 4T1 murine mammary adenocarcinomas implanted in the dorsal skinfold chamber.


Soft Matter | 2010

Thermally activated diffusion in reversibly associating polymers

Jiahui Li; Kelley D. Sullivan; Edward B. Brown; Mitchell Anthamatten

Mass transport of a small molecule dye through dynamic polymer networks containing reversibly associating side-groups was directly compared to steady-shear viscosity measurements suggesting that viscous relaxation is limited more by the frequency of dissociation events while mass transport is determined primarily by the degree of association.


CSH Protocols | 2015

Single- and Two-Photon Fluorescence Recovery after Photobleaching

Kelley D. Sullivan; Ania K. Majewska; Edward B. Brown

Fluorescence recovery after photobleaching (FRAP) is a microscopy technique for measuring the kinetics of fluorescently labeled molecules and can be applied both in vitro and in vivo for two- and three-dimensional systems. This introduction discusses the three basic FRAP methods: traditional FRAP, multiphoton FRAP (MPFRAP), and FRAP with spatial Fourier analysis (SFA-FRAP). Each discussion is accompanied by a description of the mathematical analysis appropriate for situations in which the recovery kinetics is dictated by free diffusion. In some experiments, the recovery kinetics is dictated by the boundary conditions of the system, and FRAP is then used to quantify the connectivity of various compartments. Because the appropriate mathematical analysis is independent of the bleaching method, the analysis of compartmental connectivity is discussed last, in a separate section.


Journal of Visualized Experiments | 2010

Measuring Diffusion Coefficients via Two-photon Fluorescence Recovery After Photobleaching

Kelley D. Sullivan; Edward B. Brown

Multi-fluorescence recovery after photobleaching is a microscopy technique used to measure the diffusion coefficient (or analogous transport parameters) of macromolecules, and can be applied to both in vitro and in vivo biological systems. Multi-fluorescence recovery after photobleaching is performed by photobleaching a region of interest within a fluorescent sample using an intense laser flash, then attenuating the beam and monitoring the fluorescence as still-fluorescent molecules from outside the region of interest diffuse in to replace the photobleached molecules. We will begin our demonstration by aligning the laser beam through the Pockels Cell (laser modulator) and along the optical path through the laser scan box and objective lens to the sample. For simplicity, we will use a sample of aqueous fluorescent dye. We will then determine the proper experimental parameters for our sample including, monitor and bleaching powers, bleach duration, bin widths (for photon counting), and fluorescence recovery time. Next, we will describe the procedure for taking recovery curves, a process that can be largely automated via LabVIEW (National Instruments, Austin, TX) for enhanced throughput. Finally, the diffusion coefficient is determined by fitting the recovery data to the appropriate mathematical model using a least-squares fitting algorithm, readily programmable using software such as MATLAB (The Mathworks, Natick, MA).


Physical Review E | 2011

Multiphoton fluorescence recovery after photobleaching in bounded systems.

Kelley D. Sullivan; Edward B. Brown


Bulletin of the American Physical Society | 2018

Photobleaching of Microplastics from Recyclable Plastics

Valerie Gugliada; Salvatore Ferrone; Kelley D. Sullivan


Bulletin of the American Physical Society | 2017

Effects of Photobleaching on Microplastics

Salvatore Ferrone; Kelley D. Sullivan


Bulletin of the American Physical Society | 2017

A Toxicology and Characterization Study of Microplastics

Amy Parker; Kelley D. Sullivan


Bulletin of the American Physical Society | 2010

Multi-photon Fluorescence Recovery After Photobleaching Applied to Systems Confined in One, Two or Three Dimensions

Kelley D. Sullivan; Edward B. Brown


Biophysical Journal | 2010

Measuring Diffusion Coefficients in Confined Systems Via Multi-Photon Fluorescence Recovery after Photobleaching

Kelley D. Sullivan; Edward B. Brown

Collaboration


Dive into the Kelley D. Sullivan's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Edward F. Brown

Michigan State University

View shared research outputs
Top Co-Authors

Avatar

Jiahui Li

University of Rochester

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge