A theoretical analysis is presented on how to separate the contributions from individual, simultaneously present fluorophores in a spectrally resolved image. Equations are derived that allow the calculation of the signal-to-noise ratio of the estimates for such contributions, given the spectral information on the individual fluorophores, the excitation wavelengths and intensities, and the number and widths of the spectral detection channels. We then ask how such imaging parameters have to be chosen for optimal fluorophore separation. We optimize the signal-to-noise ratio or optimize a newly defined "figure of merit", which is a measure of efficiency in the use of emitted photons. The influence of photobleaching on the resolution and on the ...
Due to the diffraction limit of light, the resolution of fluorescence light microscopy is limited to...
Fluorescence microscopy is widely used to observe and quantify the inner workings of the cell. Tradi...
Fluorescence tomography has become increasingly popular for de-tecting molecular targets for imaging...
Schlachter S, Schwedler S, Esposito A, Kaminski Schierle GS, Moggridge GD, Kaminski CF. A method to ...
The widespread use of fluorescence microscopy along with the vast library of available fluorescent s...
A new global analysis algorithm to analyse (hyper-) spectral images is presented. It is based on the...
AbstractMethods of blind source separation are used in many contexts to separate composite data sets...
We have constructed a mathematical model to analyze the photon efficiency of frequency-domain fluore...
Methods of blind source separation are used in many contexts to separate composite data sets accordi...
van de Linde S, Wolter S, Heilemann M, Sauer M. The effect of photoswitching kinetics and labeling d...
A most-important-variables analysis of practical, successful multiphoton excitation fluorescence mic...
The spectral reflectance of objects provides innate information about material properties that have ...
Methods of blind source separation are used in many contexts to separate composite data sets accordi...
Most recent advances in fluorescence microscopy have focused on achieving spatial resolutions below ...
Color theory was first formalized in the seventeenth century by Isaac Newton just a couple of decade...
Due to the diffraction limit of light, the resolution of fluorescence light microscopy is limited to...
Fluorescence microscopy is widely used to observe and quantify the inner workings of the cell. Tradi...
Fluorescence tomography has become increasingly popular for de-tecting molecular targets for imaging...
Schlachter S, Schwedler S, Esposito A, Kaminski Schierle GS, Moggridge GD, Kaminski CF. A method to ...
The widespread use of fluorescence microscopy along with the vast library of available fluorescent s...
A new global analysis algorithm to analyse (hyper-) spectral images is presented. It is based on the...
AbstractMethods of blind source separation are used in many contexts to separate composite data sets...
We have constructed a mathematical model to analyze the photon efficiency of frequency-domain fluore...
Methods of blind source separation are used in many contexts to separate composite data sets accordi...
van de Linde S, Wolter S, Heilemann M, Sauer M. The effect of photoswitching kinetics and labeling d...
A most-important-variables analysis of practical, successful multiphoton excitation fluorescence mic...
The spectral reflectance of objects provides innate information about material properties that have ...
Methods of blind source separation are used in many contexts to separate composite data sets accordi...
Most recent advances in fluorescence microscopy have focused on achieving spatial resolutions below ...
Color theory was first formalized in the seventeenth century by Isaac Newton just a couple of decade...
Due to the diffraction limit of light, the resolution of fluorescence light microscopy is limited to...
Fluorescence microscopy is widely used to observe and quantify the inner workings of the cell. Tradi...
Fluorescence tomography has become increasingly popular for de-tecting molecular targets for imaging...