PATENT CLAIM ANALYSIS

Application Number: 16163125
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["348", "079000"]

Abstract:
A biological specimen observation apparatus whereby observation of a biological specimen can be performed accurately. In macro observation, a biological change region is extracted from a macro image, a micro observation point corresponding to an extracted biological change region is registered, and an object for tracking is identified. In micro observation, it is judged from the micro image whether or not biological change has continued in the biological change region at the micro observation point, and the registered micro observation point is updated on the basis of this judgment result. It is possible to carry out both macro observation for detecting a biological change region and micro observation for observing the progress of growth of a partial minute region where biological change has been exhibited, and to carry out accurate observation of a biological specimen.

Claim (Index 4):
The biological specimen observation apparatus according to  claim 1 , wherein the one or more processors are to\n generate a tiled image by tiling together a plurality of images of the biological specimen acquired by the imaging device, and extract the biological change region from the generated tiled image.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 97.0
- Lexical Diversity: 2.26562
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15220725', '13251673', '12786750', '11661235', '12332540']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6689117399712119
- 35 USC 102 Novelty (BERT): 0.5500699786329856
- Combined Prediction Score: 0.6570275638373893
- Mean Citation Score: 292.3003
- Max Citation Score: 404.22858
- Similarity Product: 400.71662890815145

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