PATENT CLAIM ANALYSIS

Application Number: 16050387
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["250", "459100"]

Abstract:
For an imaging method for presenting fluorophores ( 5 ) by optical excitation, spontaneous emission of fluorescence and detection of same, a single, conventional sensor ( 6 ) is used having at least two color channels, which detect an excitation light used to excite the fluorophore ( 5 ) and the fluorescence emitted by the fluorophore ( 5 ) with different sensitivities. Due to the different spectral distribution of the sensitivity of the color channels, it is possible to separate the component of the excitation light from the component of the fluorescence, in particular in a specific pixel, from one another by processing output signals of said color channels, in particular by conversion into a color space and/or by calculation of color saturation values. From this, the intensity of the fluorescence can be deduced, preferably taking account of a relative luminance measured by the color channels, even though reflected excitation light reaches the color channels, in particular in an unfiltered manner.

Claim (Index 6):
The imaging method as claimed in  claim 1 , wherein at least one of light from the first spectral range ( 1 ), the fluorescence from the second spectral range ( 2 ), or light from a further spectral range reaches the sensor ( 6 ) unfiltered.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 95.0
- Lexical Diversity: 1.95556
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12037154', '15316455', '14465199', '15316453', '14216704']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7229375529732451
- 35 USC 102 Novelty (BERT): 0.4838942403049107
- Combined Prediction Score: 0.6990332217064117
- Mean Citation Score: 201.293892
- Max Citation Score: 207.20047
- Similarity Product: 153.1633276006973

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test