PATENT CLAIM ANALYSIS

Application Number: 16414253
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["356", "365000"]

Abstract:
Circular dichroism can be accurately measured even when a phase modulation element with a distortion component is used. A circular dichroism measuring method using a circular dichroism measuring device  2  includes a step of measuring Ip(t) (S 101 : phase amount change acquisition step), a step of measuring Is(t) (S 102 : sample data acquisition step), a step of converting Ip(t) to δ(t) (S 103 : phase amount change acquisition step), a step of converting Is(t) to Is(δ) (S 104 : analysis step/Is(δ) calculation step), and a step of performing curve fitting to calculate matrix elements S 00 , S 02 , and S 03  (S 105 : analysis step/matrix element calculation step).

Claim (Index 5):
The circular dichroism measuring device according to  claim 4 , further comprising:\n a beam splitter that splits the light emitted from the phase modulation element in two, wherein a light detector constituting the sample data acquisition means and detecting light transmitted through the sample is formed on an optical path for one of the two lights split by the beam splitter, and the second polarization plate constituting the Ip(t) acquisition means and a second light detector detecting light transmitted through the second polarization plate are formed on an optical path for the other of the two lights split by the beam splitter.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 100.0
- Lexical Diversity: 2.38095
- Patent Class: 356.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15315433', '11785134', '10196593', '12223446', '13727709']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7098061148469141
- 35 USC 102 Novelty (BERT): 0.553922205853512
- Combined Prediction Score: 0.694217723947574
- Mean Citation Score: 243.229356
- Max Citation Score: 430.2555
- Similarity Product: 358.747402606219

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

Dataset: test