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CryoLynx-AI Scientific Instrumentation
Next-Gen Scientific Instrumentation • Houston, TX

Transforming Structural Biology through Automated Cryo-Prep

CryoLynx-AI bridges the critical gap between AI molecular modeling (AlphaFold 3, RoseTTAFold) and experimental validation. We eliminate the 60%+ sample preparation failure rate in Cryo-EM with ultra-fast, deterministic vitrification.

>10x

Sample Throughput

<80nm

Uniform Ice Layer

92%+

Grid Yield Success

CryoChamber_Sim_v2.6
LIVE SIM
Temp: 77.3 K
State: Vitreous Ice
Ice Thickness: 48 nm
Cooling Rate: 10⁶ K/s
Vitrification Mode: Ultrasonic Ethane Micro-Jet

Industry Bottleneck

Manual Cryo-Prep is Breaking the AI Drug Discovery Pipeline

Despite multi-million-dollar electron microscopes and advanced AI prediction models, researchers rely on manual blotting techniques invented over 30 years ago.

Ice Thickness Variability

Manual blotting creates uneven vitreous ice thickness across grids. Ice that is too thick obscures high-resolution electron beams; ice that is too thin deforms protein structures.

Severe Throughput Limits

Laboratories process only 10-15 grids per day manually. $5M+ Cryo-TEM instruments sit idle waiting for quality samples, stalling drug discovery campaigns.

Massive Sample Waste

Over 60% of prepared grids are discarded due to air-water interface denaturation or mechanical deformation, wasting hundreds of thousands of dollars in rare proteins.

Interactive Workflow Comparison

Toggle between traditional manual plunge freezing and CryoLynx-AI automated execution.

Traditional Manual Method

High Failure & Blotting Artifacts

Operators manually strip filter paper across fragile copper grids. Variable humidity and contact force lead to crystalline ice formation, protein air-water interface contact, and non-reproducible grid thickness.

  • Success Rate: ~25-35%
  • Preparation Time: 12-15 mins per grid
  • Data Integration: Manual lab notebook tracking
Ice Thickness Uniformity: Uncontrolled (>250nm)
Sample Preservation Grade: 35% Intact
Daily Multi-Grid Output: 12 Grids / Day

Proprietary Technology

Designed for the Era of AI-Driven Structural Biology

CryoLynx-AI integrates sub-millisecond thermal feedback, non-contact ultrasonic vitrification, and native digital metadata output.

Automated Vitrification

Ultra-fast micro-jet ethane quenching achieving cooling rates in excess of 10⁶ K/s to ensure amorphous, non-crystalline ice every time.

Computer-Vision Quality Check

Sub-micron optical monitoring inspects droplet spread, film thickness, and grid integrity prior to plunge immersion.

Native Metadata Pipeline

Captures temperature, humidity, and deflection metrics for direct export into cryoSPARC, RELION, and computational structure pipelines.

Continuous Robotic Handling

Low-vibration robotic loader handles multi-grid cartridges for unattended overnight preparation and high-throughput screening.

Institutional Impact

Calculate Your Facility's Productivity Gain

See how much time and budget CryoLynx-AI saves your core facility or biopharmaceutical research laboratory compared to traditional manual grid preparation.

Grids Prepared per Week: 50
Target Sample Value ($/Grid): $1,500

Estimated Annual Optimization Based on CryoLynx-AI benchmarks

Time Saved / Year

416 hrs

Operator labor reduction

Reagent Waste Saved

$2.15M

Sample recovery efficiency

Grid Success Rate

28% → 94%

3.3x yield enhancement

Efficiency Note: CryoLynx-AI enables continuous 24/7 grid vitrification, eliminating instrument downtime on high-end Cryo-TEM platforms (e.g., Krios, Titan, Glacios).

Target Sectors

Empowering Life Sciences Across Sectors

Biopharmaceutical R&D

Accelerate Structure-Based Drug Design (SBDD). Rapidly evaluate drug-protein ligand bindings without waiting weeks for sample preparation optimization.

High-Throughput Screening

Academic & Core Facilities

Standardize user protocols across multi-user national facilities. Eliminate operator-dependent variability and maximize microscope utilization hours.

Multi-User Standardization

AI Model Validation

Generate standardized physical datasets to train generative biological models. Feed real-time thermodynamic metadata into structural neural networks.

Physical AI Data Pipelines
Houston, Texas Headquarters

Built by Pioneers in Instrumentation & Biophysics

CryoLynx-AI is headquartered in Houston, TX, leveraging the region's world-class medical innovation, engineering talent, and biotechnology research centers.

Our team combines deep expertise in ultra-low temperature thermal physics, precision robotics, and structural biology computational pipelines.

Dr. Juan Gonzalez Dickson

Founder & Principal Investigator

Pioneering research in automated cryogenic sample preparation and precision biophysical instrumentation. Committed to establishing U.S. leadership in next-generation scientific infrastructure.

Cryo-EM Automation NSF SBIR PI Biophysical Hardware

Partnering & Collaboration

Engage with CryoLynx-AI

We are actively establishing academic pilot partnerships, biopharma early-access programs, and advisory collaborations.