Reaction Transition Point Detection in Noisy Photometric Curves

The patent segments the reaction curve analysis into multiple distinct phases (baseline phase, exponential growth phase, plateau phase) and identifies transition points between these phases. By dividing the continuous reaction process into discrete segments with characteristic behaviors, the method can precisely locate transition points even in noisy data, thereby improving measurement precision without requiring high signal-to-noise ratio throughout the entire reaction.

The patent performs preliminary actions by pre-defining phase boundaries and transition point criteria before analyzing the actual reaction data. The system prepares reference models of expected reaction phases and uses these to guide the identification process, allowing it to accurately pinpoint transition points even when the measured signal is contaminated with noise from chemical and electronic sources.

The patent converts the harmful effect of noise into a beneficial feature by using the statistical properties of noise to distinguish true transition points from random fluctuations. The method identifies transition points based on systematic changes in the reaction curve that persist despite noise, effectively using the presence of noise to validate the robustness of identified transition points. This allows accurate transition point identification even in the presence of chemical and electronic noise sources.

The system performs preliminary filtering and validation of transition point candidates by comparing them against expected phase transition patterns. Before finalizing transition point identification, the method pre-processes the data to distinguish systematic phase transitions from random noise, thereby improving accuracy despite the presence of harmful noise from chemical and electronic sources.

The patent implements self-service by enabling the reaction monitoring system to automatically identify transition points and determine reaction phase without requiring complex manual analysis or intervention. The system uses automated algorithms to process the raw photometric data, identify characteristic phase transitions, and provide real-time reaction status information, thereby achieving real-time control capability while keeping the operational complexity manageable through automation.

The patent segments the complex data analysis task into simpler sub-tasks: detecting baseline phase, identifying exponential growth phase, and recognizing plateau phase. By dividing the overall analysis into these manageable segments with distinct identification criteria, the system achieves real-time monitoring capability without requiring excessively complex analysis algorithms, thus balancing productivity improvement with acceptable system complexity.