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Product Page · Controlled Rate Freezer

Precision Cooling That Protects Cell Viability Before Storage

Build reproducible cryopreservation workflows from +20°C to cryogenic transfer with programmable slope control, latent-heat compensation, and audit-ready records.

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-1°C/min

Critical phase control

2 formats

Tabletop and upright systems

21 CFR

Compliance-ready software design

Controlled-rate freezing system for cell preparation workflows

Why Controlled-Rate Freezing Matters

Programmed cooling profiles for different cell types and containers

Buyer Pain Points

Common failure modes in manual or basic freezing workflows

Cell therapy teams need more than a cold chamber. They need precise thermal behavior that is repeatable, scalable, and fully documented.

Intracellular ice damage
Cooling too fast can rupture cell structures, reducing post-thaw viability and batch yield.
Latent-heat rebound
During phase change, released heat can cause uncontrolled temperature rise if compensation is weak.
Batch inconsistency
Different positions and containers may follow different curves without closed-loop correction.
Audit and traceability gaps
Regulated programs need immutable run data, operator actions, and exportable reports.

Cooling Principle and Technical Logic

Why the -1°C/min window and latent-heat control are critical

Controlled-rate freezers coordinate chamber temperature, sample probe feedback, and nitrogen delivery to maintain predictable thermal transitions.

Cryogenic detail view representing controlled cooling dynamics
1) Programmed slope through sensitive zones
Use validated ramp segments around the critical nucleation interval rather than one fixed linear drop.
2) Phase-transition heat compensation
Inject controlled cooling power when latent heat release causes temporary rebound pressure.
3) Probe-driven closed-loop correction
Sensor feedback continuously tunes execution so real sample curves stay close to target profiles.
Engineering target: stable profile adherence across containers and positions so process qualification is easier to defend during QA review.

Product Series

Tabletop and upright configurations for different throughput targets

Select hardware architecture by validation workload, batch size, and GMP production rhythm.

Tabletop-scale controlled-rate freezer configuration
Tabletop Configuration
CRF-T: Development and Pilot Programs

Compact programmable platform for process development labs, IVF teams, and protocol optimization cycles.

Capacity: Small to medium batches with rapid profile iteration

Control: Multi-step recipes with probe and chamber channels

Throughput fit: Best for R&D, method transfer, and pre-GMP readiness

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Upright controlled-rate freezer for GMP throughput
Upright GMP Configuration
CRF-U: Clinical and Production Workflows

High-capacity architecture for routine freezing in cell therapy facilities, blood centers, and centralized biobanks.

Capacity: Higher batch density with fixture options for bags and vials

Control: Recipe governance, user roles, and release-oriented records

Throughput fit: Best for GMP campaigns and multi-shift operations

Talk to EngineeringSee Compliance Stack

Curve Validation Snapshot

Measured chamber and sample behavior during programmed freezing

Use real curve evidence to verify slope control, latent-heat handling, and profile reproducibility.

Representative Cooling Curve (0 to 60 min)

Example run showing chamber trajectory and sample probe response through the phase transition region.

Chamber temperature
Sample probe temperature
3010-10-30-50-70-90-1100102030405060Latent heat compensation window
Temperature (°C)Time (minutes)
Tight phase-transition handling
The sample line avoids uncontrolled rebound in the latent-heat interval, reducing freeze injury risk.
Controlled chamber-sample delta
Temperature gap remains predictable, supporting repeatable protocol transfer between runs.
Qualification-friendly reproducibility
Curve evidence can be exported for method validation packages and routine batch release review.

Compliance Software Layer

Designed for QA, validation, and regulated operations

Software capabilities are built to support documentation integrity from recipe setup to signed batch records.

Biopharma environment for compliance-oriented freezing workflows
System interface and audit workflow can be configured to match internal SOP and quality policies.
Role-based access control
Separate operator, supervisor, and QA permissions for stronger process governance.
Electronic records and signatures
Run history, profile changes, and sign-off events are captured for controlled documentation flow.
Alarm and exception timeline
Out-of-limit events and interventions are timestamped for investigation and CAPA workflows.
Export-ready report packages
Generate curve files and batch summaries for validation dossiers and audit preparation.

Accessory and Fixture System

Compatible with diverse cryopreservation container formats

Configure racks, holders, and probes around your real sample mix so one platform supports multiple protocols.

Vial rack families
Support common 1.0 mL, 2.0 mL, and SBS-oriented vial workflows with validated fixture sets.
Blood bag fixtures
Dedicated holders for blood and cell therapy bag formats with stable thermal contact behavior.
Probe and calibration kits
Reference probes and calibration routines help maintain confidence in profile execution quality.

Operational Impact Signals

How teams evaluate value beyond equipment specifications

Controlled-rate platforms are usually selected for process confidence, release readiness, and risk reduction.

5-10x
Automation speed advantage
Reduces manual intervention compared with conventional freezer-centric workflows.
~30%
Storage-program synergy
Aligned upstream freezing and downstream storage helps improve total program efficiency.
24/7
Audit and traceability readiness
Electronic records and alarm history support continuous quality oversight.

Frequently Asked Questions

Technical and compliance questions from cell therapy and biobank teams

Need a Controlled-Rate Freezing Workflow for Your Program?

Share your container mix, target throughput, and compliance requirements. We will propose a practical setup and validation path.

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