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Timstof Scp

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Lab Devices
Bruker
Timstof Scp

Analyze Bruker timsTOF SCP Ultra-sensitive LC-MS QTOF data with AI

Ultra-sensitive LC-MS QTOF optimized for single cell proteomics

Sample Handling: Enhanced ion transfer for low sample amounts

Specification: PASEF-enabled acquisition

Specification: Optimized for nano-flow LC

Detection System: Ultra-low detection limits

Specification: Single cell proteomics capability

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your timsTOF SCP data into Sourcetable in 3 simple steps

Export Data

Export single cell proteomics data from your timsTOF SCP via MaxQuant to CSV format for protein quantification
Upload to Sourcetable

Import your single cell protein data and expression results into Sourcetable for analysis
Start Analysis

Perform automated single-cell protein analysis and generate comprehensive cellular proteomics reports

File Format Compatibility

Complete support for timsTOF SCP single cell proteomics data including protein quantification and differential expression analysis.

.csv

Raw Data

Full Support Export single cell protein quantification results Single-cell protein IDs, expression levels, low-abundance peptides, cellular heterogeneity data

Pre-built Analysis Workflows

Single cell proteomics workflows with ultra-sensitive detection for cellular heterogeneity and low-abundance protein analysis.

🔬

Single Cell Analysis

Protein quantification from extremely low-input samples at single cell level

Single-cell Low-input Quantification

📊

Differential Expression

Comparative protein expression analysis between cell conditions

Expression Differential Comparative

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Low-abundance Detection

Detection and quantification of low-abundance cellular proteins

Low-abundance Detection Cellular

Technical Requirements

Software Dependencies

timsTOF SCP Ultra-sensitive LC-MS QTOF optimized for single cell proteomics
Control Software MaxQuant, Perseus, Bruker software
File Export Format Bruker .d, CSV, mzML
Applications Proteomics research, medical research, cellular biology

Sourcetable Libraries

Data Processing pandas, numpy
Statistical Analysis scipy, statsmodels
Visualization matplotlib, plotly
Specialized Analysis msproteomic, seaborn

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