Bioprocess

The Bioprocess app transforms bioreactor monitoring by unifying real-time online and atline data into customizable, role-specific dashboards that accelerate decision-making from bench to production scale. This vendor-agnostic solution supports all major bioreactor platforms, enabling standardized monitoring workflows across your organization.

Overview

The Bioprocess app revolutionizes how laboratories interact with bioreactor data by providing immediate access to both online sensor measurements and atline analytical results in a single, unified interface. Users can monitor critical process parameters in real-time, visualize trends across multiple runs, and leverage advanced analytics for process optimization — all while maintaining complete data traceability for regulatory compliance.

What sets the Bioprocess app apart is its ability to deliver customized visualizations for different user groups. Operators see real-time deviations and alarms, scientists access detailed analytical tools, and management views high-level KPIs — all from the same underlying data platform. This rapid visualization capability means teams can identify issues, compare batches, and make data-driven decisions faster than ever before.

Common Use Cases

The Bioprocess app excels in various bioprocessing scenarios:

• Real-Time Production Monitoring — Track production runs with immediate deviation alerts
• Process Development — Optimize growth conditions and feeding strategies
• Scale-Up and Tech Transfer — Ensure consistency from bench to production scale
• Deviation Investigation — Rapidly identify root causes of process excursions
• Campaign Comparison — Analyze performance trends across multiple production campaigns
• Multi-Site Harmonization — Standardize monitoring across different manufacturing sites
• PAT Implementation — Enable Process Analytical Technology initiatives
• Continuous Processing — Monitor perfusion and continuous manufacturing operations

The features shown below provide a representative set of capabilities available in the Bioprocess app. Your implementation will be tailored to your specific bioprocess workflows, scales, and analytical requirements. Production implementations typically include campaign and run selection interfaces, enabling systematic navigation through your complete process history.

Representative Analysis Workflows

The Bioprocess app adapts to different user needs and scenarios, providing multiple pathways to insights:

Real-Time Monitoring Workflow (Production Teams)

Step	Action	Description
1️⃣	Access Dashboard	Open role-specific monitoring view with current batches
2️⃣	Monitor Parameters	Track temperature, pH, DO, and feeding in real-time
3️⃣	Respond to Alerts	Investigate deviations and anomalies as they occur
4️⃣	Document Actions	Log observations and corrective actions taken
5️⃣	Handoff Report	Generate shift summary with key events

Process Investigation Workflow (Scientists & Engineers)

Step	Action	Description
1️⃣	Select Batches	Choose specific runs or campaigns to analyze
2️⃣	Compare Performance	Overlay with golden batches or historical data
3️⃣	Apply Analytics	Use PCA, correlation matrices, or growth kinetics
4️⃣	Identify Root Causes	Drill into specific timeframes and parameters
5️⃣	Generate Insights	Document findings and recommendations

Optimization Workflow (Process Development)

Step	Action	Description
1️⃣	Design Experiment	Set up DoE with parameter ranges
2️⃣	Execute & Monitor	Track experiment progress in real-time
3️⃣	Analyze Results	Apply PLS modeling and outlier detection
4️⃣	Validate Improvements	Compare against baseline performance
5️⃣	Plan Scale-Up	Use insights for next iteration

note

These workflows are representative of common usage patterns. The Bioprocess app's flexible architecture allows users to navigate directly to the tools they need based on their immediate objectives, whether that's responding to a deviation, investigating a trend, or optimizing a process. Your implementation will be customized to match your specific operational workflows.

Key Features

Real-Time Unified Data Platform

Experience the power of having all bioprocess data in one place, updating in real-time:

 

• Live data streaming — See process changes as they happen
• Unified visualization — Online sensors and atline analytics on the same timeline
• Multi-parameter overlay — Compare temperature, pH, DO, and agitation simultaneously
• Automatic scaling — Intelligent Y-axis management for different parameter ranges
• Time synchronization — Align all data streams to process time or real time

Run Browser and Data Selection

Navigate and select bioprocess runs with powerful filtering and search capabilities:

 

The Run Browser serves as your gateway to all bioprocess data:

• Campaign organization — Hierarchical view of campaigns and experiments
• Advanced filtering — Filter by Campaign ID, Batch ID, Run Dates, Bioreactor ID, Input Sample, Media Type
• Multi-run selection — Compare multiple runs side-by-side with checkbox selection
• Metadata visibility — View cell lines, media types, and volumes at a glance
• Quick search — Find specific runs instantly with the search bar
• Direct data loading — One-click "Load Data" to visualize selected runs

Customizable Dashboards

Create personalized dashboard views tailored to specific preferences:

 

The dashboard customization features enable each user to create their ideal monitoring view:

Dashboard Configuration

• Multiple dashboard tabs — Create Dashboard A, B, or custom views for different scenarios
• Parameter selection — Choose which parameters to display via interactive checkboxes
• Active datasets — Toggle visibility of different runs and experiments
• Persistent configurations — Dashboard layouts are saved per user/group

Interactive Controls

• Global plot controls — Adjust time ranges, axis settings, and data smoothing
• Quick time ranges — Select 1H, 1D, or 1W views, or custom date ranges
• Auto Y-axis scaling — Automatic or manual axis range control
• Smoothing options — Apply rolling mean or other data smoothing methods
• Downsampling controls — Optimize performance for large datasets

Visualization Features

• Real-time updates — Live data streams appear automatically as new values arrive
• Multi-run overlay — Compare temperature, pH, DO, agitation across different batches
• Color-coded runs — Each run gets a unique color for easy identification
• Synchronized axes — Time axes align across all parameter plots

Role-Specific Benefits

• Operator views — Focus on alarms, deviations, and critical parameters
• Scientist dashboards — Access to analytical tools and model predictions
• Management summaries — High-level KPIs and batch performance metrics
• Custom layouts — Tailored visualizations for specific products or processes

Online Process Monitoring

Monitor critical process parameters with sophisticated visualization tools:

 

Monitored Parameters

Category	Parameters
Environmental	Temperature, pH, Dissolved Oxygen
Mechanical	Agitation, Gas Flow Rates, Pressure
Metabolic	OUR, CER, RQ
Feed & Base	Feed Rate, Base Addition, Antifoam

Atline Data Integration

Seamlessly incorporate offline analytical results with online data:

 

Track cell culture performance with integrated atline measurements:

• Cell density and viability — Monitor growth and health trends
• Total cell count — Track biomass accumulation
• Specific productivity — Calculate per-cell production rates
• Multi-experiment comparison — Overlay data from multiple runs

 

Monitor nutrient consumption and metabolite production:

• Glucose and lactate — Track primary metabolism
• Amino acids — Monitor essential nutrient levels
• Ammonia — Identify toxic byproduct accumulation
• Custom metabolites — Add project-specific analytes

 

Track product formation and quality:

• Titer progression — Monitor product accumulation over time
• Max titer comparison — Benchmark against historical performance
• Quality attributes — Track glycosylation, aggregation, charge variants
• Productivity metrics — Calculate volumetric and specific productivity

Growth Kinetics Analysis

Automatically calculate and visualize key growth parameters:

 

• Growth models — Gompertz, Logistic, Exponential curve fitting
• Specific growth rate (μ) — Automatic calculation with confidence intervals
• Doubling time — Real-time updates as culture progresses
• Growth phase detection — Identify lag, exponential, and stationary phases
• Model comparison — Select best-fit model for your process

Intelligent Outlier Detection

Identify process anomalies before they impact product quality:

 

• Isolation Forest algorithm — Machine learning-based anomaly detection
• Multi-parameter analysis — Detect outliers across correlated variables
• Visual identification — Color-coded normal vs outlier classification
• Historical comparison — Learn normal behavior from golden batches
• Root cause analysis — Drill down into contributing factors

Process Investigation Tools

Understand complex relationships in your bioprocess data:

 

• Correlation matrices — Identify relationships between parameters
• PCA analysis — Reduce dimensionality and find key drivers
• Scree plots — Determine optimal number of principal components
• Biplot visualization — Understand variable contributions
• Time-series decomposition — Separate trends from noise

Process Optimization

Leverage advanced modeling for process improvement:

 

• PLS regression modeling — Predict outcomes from process parameters
• Contour plot visualization — Identify optimal operating regions
• Feature importance ranking — Understand critical control parameters
• Model validation — Assess prediction accuracy with test data
• What-if scenarios — Simulate process changes before implementation

Experimental Design

Plan and analyze designed experiments directly within the platform:

 

• Design strategies — Plackett-Burman, Box-Behnken, Central Composite
• Factor management — Define ranges for process parameters
• Predicted outcomes — Visualize expected results before running
• Power analysis — Ensure sufficient runs for statistical significance
• Integration with execution — Direct connection to bioreactor control

Data Types Analyzed

The Bioprocess app processes and manages comprehensive bioprocess data:

Real-Time Sensor Data

• Process parameters — Temperature, pH, DO, pressure, agitation
• Gas analysis — O₂, CO₂, flow rates, OUR, CER, RQ
• Feed and additions — Nutrient feeds, base/acid, antifoam
• Bioreactor events — Sampling, inoculation, harvesting
• Alarm states — Deviation alerts and acknowledgments

Atline Analytical Data

• Cell metrics — Density, viability, diameter, aggregation
• Metabolites — Glucose, lactate, glutamine, glutamate, ammonia
• Product quality — Titer, glycosylation, charge variants, aggregates
• Process intermediates — Host cell proteins, DNA, endotoxin
• Custom assays — Project-specific analytical methods

Calculated and Derived Metrics

• Growth kinetics — Specific growth rate, doubling time, yield coefficients
• Productivity — Volumetric, specific, instantaneous production rates
• Mass balances — Carbon, nitrogen, oxygen utilization
• Scale-up parameters — P/V, kLa, tip speed, Reynolds number
• CPP/CQA correlations — Critical parameter relationships

Data Integration

The Bioprocess app seamlessly integrates with Ganymede's data infrastructure:

Real-Time Connectivity

• OPC UA/DA connectivity — Industrial standard protocols
• Automatic synchronization — Align timestamps across data sources
• Gap handling — Intelligent interpolation for missing data points
• Latency optimization — Sub-second updates for critical parameters

Data Management Features

• Campaign organization — Hierarchical structure for experiments
• Run comparison — Side-by-side analysis of multiple batches
• Golden batch overlay — Compare against reference runs
• Version control — Track analysis iterations and model updates

Export and Reporting

Export Type	Formats	Contents
Raw Data	CSV, Excel, Parquet	Time-series data with full resolution
Reports	PDF, Word, HTML	Formatted analysis with figures
Models	JSON, PMML	Trained models for deployment
Dashboards	PNG, SVG	High-resolution visualizations
Compliance	XML, CSV	21 CFR Part 11 audit packages

Workflow Benefits

Overall Impact

• Reduction in data review time — Through automated visualization
• Earlier deviation detection — Prevent batch losses with real-time alerts
• Improved process understanding — Through integrated multi-variate analysis
• Accelerated tech transfer — With standardized monitoring tools
• Enhanced compliance — Through comprehensive data capture

Implementing the Bioprocess app delivers significant advantages across different user groups:

For Process Operators

• Real-time deviation alerts — Respond immediately to process excursions
• Unified monitoring interface — Eliminate switching between multiple systems
• Clear action guidance — Know exactly when intervention is needed
• Reduced manual data entry — Automatic capture of all measurements

For Process Scientists

• Rapid hypothesis testing — Quickly analyze relationships in data
• Advanced analytics access — Use sophisticated tools without coding
• Historical comparison — Learn from entire process history
• Model deployment — Apply predictive models in real-time

For Management

• Real-time KPI tracking — Monitor campaign performance metrics
• Cross-site standardization — Ensure consistent operations globally
• Predictive insights — Anticipate batch outcomes early
• Regulatory readiness — Maintain audit-ready documentation

Learn More

The Bioprocess app transforms bioprocess monitoring from fragmented data silos into a unified, real-time platform that empowers teams to make faster, more informed decisions. To explore how the Bioprocess app can be tailored to your specific bioprocessing needs, contact your Ganymede representative or our sales team to learn more.