banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Multidimensional data reconstruction for two color fluorescence microscopy
Rent this article for
View: Figures


Image of FIG. 1.
FIG. 1.

Lateral (XY) and axial (XZ) PSFs for two-color (corresponding to dyes, FITC (λ ex = 493 nm; λ em = 530 nm) and TOTO3 (λ ex = 641 nm; λ em = 661 nm) confocal imaging.

Image of FIG. 2.
FIG. 2.

Lateral (XY) and axial (XZ) images of the suspended nanobeads. (a) Lateral plane at −5.4 μm from the focal plane (0 μm), (b) lateral plane at +4.7 μm from the focal plane, and (c) the axial plane.

Image of FIG. 3.
FIG. 3.

Raw and reconstructed image of the cancer cells obtained using two-color confocal microscopy. Insets show the SNR for both the background noise (dye absent) and foreground signal (dye present).

Image of FIG. 4.
FIG. 4.

Csiszar ΔI-divergence test for the two-color 3D confocal imaging.

Image of FIG. 5.
FIG. 5.

Line plots for raw and reconstructed image, where green and red components represent FITC and TOTO3 in the 3D data set.

Image of FIG. 6.
FIG. 6.

(a) FWHM showing resolution improvement for raw and ML reconstructed data. (b) Two nearby features are resolved by the proposed two-color ML technique.


Article metrics loading...


Full text loading...

This is a required field
Please enter a valid email address
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Multidimensional data reconstruction for two color fluorescence microscopy