PATENT CLAIM ANALYSIS

Application Number: 15760900
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-12
Patent Classification: ["382", "133000"]

Abstract:
The present invention is directed to a method for detection of microbial colonies on a surface, comprising the steps of obtaining one or a plurality of digital images I0, I1, I2, I3, I4 of the surface, said digital images I0, I1, I2, I3, I4 being represented by at least two-dimensional matrices of pixel values, calculating a statistical noise distribution based on at least one of the digital images I0, applying the statistical noise distribution calculated in the calculation step to the one or the plurality of digital images I0, I1, I2, I3, I4, and detecting an object of interest as a candidate for a microbial colony based on deviation of pixel values from the noise distribution.

Claim (Index 6):
The method of  claim 2  where each image (I0, I1, I2, I3, I4) obtained by imaging the same surface at different times (T0, T1, T2, T3, T4) is used to obtain a plurality of images ((I0a, I0b, I0c, . . . ), (I1a, I1b, I1c, . . . ), (I2a, I2b, I2c, . . . ), . . . ) by applying the steps of:\n a) determining one of the images (I0, I1, I2, I3, I4) obtained by imaging the same surface at different times (T0, T1, T2, T3, T4) as a first digital image (Ii); and \n b) obtaining any further digital image of the plurality of digital images (Iia, Jib, . . . ) by applying a respective smoothing filter to the first digital image (Ii); \n c) repeating steps a) and b) for each image (I0, I1, I2, I3, I4) obtained by imaging the same surface at different times (T0, T1, T2, T3, T4).

Metadata:
- Claim Count in Document: 41.0
- Percentile: 90.0
- Lexical Diversity: 2.19672
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15567427', '15567775', '11568045', '14002722', '12551917']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3281491205845036
- 35 USC 102 Novelty (BERT): 0.4871715979857532
- Combined Prediction Score: 0.3440513683246286
- Mean Citation Score: 144.082394
- Max Citation Score: 162.8514
- Similarity Product: 106.13082359898092

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

Dataset: test