Mass Spectrometer Data Acquisition Throughput Optimization

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Solution Overview

Problem

Current mass spectrometer data acquisition systems face challenges in achieving high data throughput due to the need for rapid data transfer during the inter-scan period, which results in 'dead time' and is exacerbated by increasing data volumes from advanced analysis techniques like Ion Mobility Spectrometry, necessitating faster transfer rates.

Innovation Solution

A data throughput optimization module comprising a ring buffer and protocol stack is used between the data acquisition engine and network interface, with a data compression engine employing the LZRW3 algorithm, to efficiently buffer, packetize, and format data for transmission, ensuring maximum compatibility and throughput, particularly utilizing a hardware protocol stack for Ethernet communication at Gigabit speeds.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If data is transferred during the inter-scan period, then data throughput is improved, but dead time increases

Engineering Contradiction:
Improvedata throughputVSAvoidinter-scan dead time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by performing data compression during the inter-scan period before the actual data transfer is needed. The compression engine processes raw detector data and stores compressed representations in buffer memory during idle time, so that when scan data needs to be transferred, the compression is already complete and only fast transfer remains. This resolves the contradiction by preparing data in advance during dead time rather than attempting to compress and transfer simultaneously.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent segments the data processing workflow into distinct phases: data acquisition during scan time, compression during inter-scan period, and transfer of compressed data. By segmenting the raw data into scan-specific chunks and processing them separately in time, the system achieves high throughput without extending dead time, as each segment is handled in its appropriate temporal window.

Inventive Principle:
Principle #1Segmentation

2Adaptability or versatility

If advanced analysis techniques like Ion Mobility Spectrometry are implemented, then analytical capability is improved, but data volume increases

Engineering Contradiction:
Improveanalytical capabilityVSAvoiddata volume
Core Design Contradiction:
Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The patent applies parameter changes by transforming the data representation parameters through compression. The compression engine changes the parameter space of stored data by encoding temporal and spectral correlations, reducing the bits required per data point while preserving analytical information. This allows advanced techniques generating large data volumes to be supported without proportionally increasing storage or transfer requirements.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent extracts redundant information from the raw data during compression, separating essential analytical signals from redundant representations. The compression engine identifies and removes redundant temporal and spectral patterns, extracting only the essential information needed for analysis. This reduces data volume while maintaining the analytical capability required for advanced techniques like Ion Mobility Spectrometry.

Inventive Principle:
Principle #2Taking out (Extraction)

3Productivity

If data compression is applied, then data transfer efficiency is improved, but processing complexity increases

Engineering Contradiction:
Improvedata transfer efficiencyVSAvoidprocessing complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces complex software-based compression processing with dedicated hardware compression engine circuitry. The compression engine is implemented as specialized hardware logic that performs compression operations in parallel with data acquisition, substituting general-purpose processing with purpose-built mechanical/electrical circuits. This reduces processing complexity by eliminating the need for complex software algorithms while maintaining high compression efficiency.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentEP2436022B8Acquisition method and apparatus for mass spectrometer data
Publication Date: 2015.07.01 MICROMASS UK LTD

AI summary

Apparatus (6) and method for acquiring data from a mass spectrometer and its transmission to a computer system (7). The apparatus includes a data acquisition engine (9), a network interface (11) and a throughput optimization module (10) which includes a ring buffer (13) and a protocol stack (14). A compression engine (12) may be provided between the acquisition engine and the ring buffer, and this may contain multiple stages of compression. The ring buffer is configured as a number of segments containing portions of memory matching the size of data words from the acquisition engine. When a segment is full of data corresponding to the words, or is partially full and has received data containing an end of scan marker, the number of words in the segment is written into a header word in the segment and the data in that segment are moved to the protocol stack. Subsequent data is received by the next segment in the buffer.