| | Emission Fingerprinting | | Details |
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 |  | With Emission Fingerprinting of the LSM 510 META, the separation of complex fluorescence signals - even with widely overlapping emission spectra - is an easy, three-step task: |
| LSM 510 META
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Emission Fingerprinting
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 | Step 1:
Acquire Complete Fluorescence Emission with Lambda Stacks |  |
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 | First, acquire a Lambda Stack to record the spectral signature of your specimen. As these spectrally resolved images are recorded simultaneously, this step is completed in minimum time, which not only is friendly to your delicate specimens but also reliably captures fast dynamic processes. |  |
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Lambda Stack with spectral distribution of fluorescence emission of a 4-population mix of single-labeled polystyrene beads |  |
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 | Step 2:
Determine Reference Spectra with Mean-of-ROI |  |  |
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 | Next, use the Mean-of-ROI function to determine reference spectra, which can be stored for further experiments in the Spectra Database of the LSM 510 META. |  |  |
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| Lambda Stack in Lambda-Coded presentation with Regions of Interest |  | Spectral signatures of the fluorescence emissions detected in the Regions of Interest shown above |
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 | Step 3:
Perform Linear Unmixing |  |  |
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 | Finally, the Linear Unmixing function separates the mixed signals pixel by pixel by means of intelligent algorithms, using the entire emission spectrum of each of the fluorescent markers in your specimen. As a result, even greatly overlapping emission spectra, as e.g. those of GFP and FITC, are safely separated; broadband autofluorescence is reliably eliminated. New experimental approches become possible, strongly auto-fluorescent samples can now also be used for fluorescent labelling. |  |  |
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| Separation of dyes by Emission Fingerprinting |
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| For comparison: Unsatisfactory separation with bandpass filter |
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