PATENT CLAIM ANALYSIS

Application Number: 16324420
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-07
Patent Classification: ["204", "450000"]

Abstract:
Digital microfluidics apparatuses (e.g., devices and systems) configured to determine provide feedback on the location, rate of movement, rate of evaporation and/or size (or other physical characteristic) of one or more, and preferably more than one, droplet in the gap region of a digital microfluidics (DMF) apparatus.

Claim (Index 1):
A digital microfluidic (DMF) apparatus with parallel droplet detection, the apparatus comprising:\n a first plate having a plurality of actuation electrodes; a second plate having one or more ground electrodes, wherein the second plate is spaced opposite from the first plate by a gap; a voltage source; a plurality of sensing circuits, wherein a sensing circuit from the plurality of sensing circuits is electrically connected to each actuation electrode, wherein each sensing circuit is configured to detect a charge voltage of a capacitor in a charging circuit of the sensing circuit; and a controller configured to alternate between applying voltage from the voltage source to the first plate and the second plate, wherein applying voltage to the first plate comprises applying voltage to one or more actuation electrodes from the plurality of actuation electrodes to move one or more droplets within the gap, and wherein applying voltage to the second plate comprises applying voltage to the one or more ground electrodes, further wherein the controller is configured to sense, in parallel, the location of one or more droplets relative to the plurality of actuation electrodes based on input from each of the sensing circuits when applying voltage to the second plate.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 99.0
- Lexical Diversity: 1.43902
- Patent Class: 204.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15579239', '15579455', '14881889', '14680671', '13739635']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7449734401412431
- 35 USC 102 Novelty (BERT): 0.4841200131449972
- Combined Prediction Score: 0.7188880974416185
- Mean Citation Score: 206.558778
- Max Citation Score: 222.36862
- Similarity Product: 164.71806082714795

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