PATENT CLAIM ANALYSIS

Application Number: 15951885
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["250", "459100"]

Abstract:
A quantum yield calculation method uses a quantum yield calculation program for a spectrophotofluorometer. When a quantum yield is calculated using a spectrophotofluorometer  1 , a calibration processing unit executes the processing to calibrate a photon number A 2  that is a photon number of the fluorescence in a blank measurement state based on a photon number A 1  that is the photon number of an excitation light in the blank measurement state and a photon number B 1  that is the photon number of an excitation light in the sample measurement state. A quantum yield calculation processing unit calculates a first quantum yield based on a background photon number A 2 ′ after a calibration in addition to the photon number A 1  of the excitation light in the blank measurement state and the photon number B 2  of the fluorescence in the sample measurement state.

Claim (Index 3):
The quantum yield calculation method, according to  claim 1 , wherein:\n said quantum yield calculation step calculates a ratio between a photon number of the excitation light that is absorbed by said sample and the photon number of the light emerged from said sample as an inside quantum yield based on said first photon number, said third photon number, said fourth photon number and said fifth photon number.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 91.0
- Lexical Diversity: 3.125
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13141152', '13033612', '13000466', '14764703', '13988778']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7576965620413014
- 35 USC 102 Novelty (BERT): 0.4993270688164149
- Combined Prediction Score: 0.7318596127188128
- Mean Citation Score: 246.868654
- Max Citation Score: 277.08163
- Similarity Product: 222.12677927228512

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

Dataset: test