PATENT CLAIM ANALYSIS

Application Number: 16198952
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["156", "249000"]

Abstract:
A process for transferring microstructures to a flexible or rigid final substrate that offers advantages in both speed and precision is provided. The inventive process involves subjecting a transfer film in a continuous roll-to-roll process to the following operations: either forming microstructures on, or transferring microstructures to a surface of the transfer film; and then transferring the microstructures from the transfer film onto a surface of the final substrate. The microstructures are single or multi-layer structures that are made up of: voids in a substantially planar surface, the voids optionally filled or coated with another material; raised areas in a substantially planar surface; or combinations thereof.

Claim (Index 14):
The process of  claim 11 , which further comprises:\n applying one or more heat and/or pressure activated adhesives to the microstructures on the carrier film; bringing the adhesive coated microstructures on the carrier film into contact with a surface of the final substrate; applying both heat and pressure to the carrier film and then lifting the carrier film from the microstructures causing separation between the microstructures and the one or more release coating layers, thereby allowing transfer of the microstructures onto the surface of the final substrate, while simultaneously activating the adhesive on the microstructures, thereby allowing the microstructures to adhere to the surface of the final substrate.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 1.8125
- Patent Class: 156.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14421394', '13723716', '15257099', '10513180', '10838840']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9069805726594368
- 35 USC 102 Novelty (BERT): 0.526991458376062
- Combined Prediction Score: 0.8689816612310992
- Mean Citation Score: 202.529158
- Max Citation Score: 344.4516
- Similarity Product: 247.5173883700848

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

Dataset: test