PATENT CLAIM ANALYSIS

Application Number: 16116960
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-04
Patent Classification: ["348", "080000"]

Abstract:
When an observation target is enabled to be observed by a plurality of types of measuring methods having different principles, to make it possible switch an illuminating method in a plurality of ways to increase types of observation targets that can be observed. An observation target SP is illuminated by at least one of coaxial epi-illumination  24  and non-coaxial epi-illumination  25 . A focus search is performed on the basis of an image acquired by a first light receiving element  50 . The observation target SP is illuminated by a light source  26 . The focus search is performed on the basis of a signal acquired by a second light receiving element  51.

Claim (Index 10):
The magnifying observation apparatus according to  claim 1 , wherein the magnifying observation apparatus is configured to calculate a reliability index of the focus position associated with the observation target illuminated by the coaxial epi-illumination and a reliability index of the focus position associated with the observation target illuminated by the non-coaxial epi-illumination and, determine whether both the reliability indexes satisfy a predetermined reference, and the second three-dimensional-shape measuring section measures the three-dimensional shape of the observation target on the basis of the focus position determined by the second focus searching section in response to determining that both the reliability indexes do not satisfy the predetermined reference.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 96.0
- Lexical Diversity: 1.78462
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16116962', '15646444', '14551101', '15646432', '15646451']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6634399631918169
- 35 USC 102 Novelty (BERT): 0.5434125929723505
- Combined Prediction Score: 0.6514372261698702
- Mean Citation Score: 271.705614
- Max Citation Score: 409.76425
- Similarity Product: 268.65299943256383

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