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To assess the usefulness of mTFP1 and mWasabi in live cell imaging applications, we constructed and imaged more than 20 different fusion proteins.
Confocal microscope images were taken to evaluate the cell imaging applications of the fluorescent NDs.
They enter into cells without any further modifications, and the fluorescence property can be utilized for fluorescence-based cell imaging applications.
Enabling effortless setup of complex acquisition sequences and protocols, the GEM presents an intuitive method to seamlessly control motorized hardware, delivering outstanding ease and efficiency for advanced live cell imaging applications.
The advent of the green-fluorescent protein (GFP) technology generated a myriad of in-vivo and in-vitro cell imaging applications including spatio-temporal analysis and expression of diverse cell signaling molecules, cellular organelles, and the high-throughput functional annotation of genome sequences in various organisms [1], [2], [3].
In addition to segmentation, live cell imaging applications often require object tracking.
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The luminescence imaging results demonstrated the practical utility of the new sensor for the time-resolved luminescence cell imaging application.
Finally, the Hg2+ ion sensing ability of TBET probes R1 and R2 was utilized in a HeLa cell imaging application, and the probe R1 was used to monitor the Hg2+ ion in live zebrafish.
Thus, mCerulean3 possesses special advantages for quantitative live-cell imaging applications.
This methodology is both genetically encodable and compatible with organic fluorophores and therefore optimal for live-cell imaging applications.
This method enables digital fluorescence microscopy data to be interpreted in the context of a model with a measurable degree of confidence, when deconvolution is not successful because fluorophores are closely spaced and noise is significant (which is common for many live-cell imaging applications).
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