NextGen LNP Characterization

Harnessing AI for Statistically Significant Cryo-EM Insights
Improve your formulations decisions

Discover all the benefits from our revolutionary analysis process

Fast & Affordable

High-quality results accessible and timely for your needs with our ability to process hundreds of samples each month.

Quantitative Insights

Experience the first AI solution to quantify LNP morphology at >98% precision and human like accuracy.

Expertise Certified

Our team of experts is the backbone of our GMP-certified operations, ensuring the highest levels of quality and compliance.

Transforming cryo-em from qualitative into a quantitative method

100% AI Powered, Automated, & Quantitative

At ATEM we have developed a machine learning based algorithm to transform cryo-EM LNP images into quantitative morphological insights.

“Automation is the key
to make nano-imaging
data quantitative

Dr. Karl Bertram
Cryo-EM expert
KEY LNP QUALITY PARAMETERS IN ONE ASSAY

Turning Images into Statistical Data

Gain valuable insights into:

LNP Size & Size Distribution Characterization

ATEM’s machine learning algorithm can characterize the size and size distribution of the LNP at single particle precision.

LNP Morphology Classification

The machine learning model classifies the particles into the main observed particle morphologies of Solid Core, Biphasic Split and Biphasic Dense (Blebbed) particles.

LNP Aspect Ratio

The Aspect Ratio (Shape Ratio) identifies the shape of the LNP, relative to a perfect sphere.  Cryo-EM is the only method to provide this level of insights.

ESTABLISHING ANALYTICAL RELIABILITY

Human Like Accuracy, >98% Precision, up to 5.000 Particles

Gain valuable insights into:

Statical Significance

Based on a random draw study we can see that only 2.000+ particles the statistical significance becomes robust. This is important when drawing conclusions about less frequently present morphological classes.

< 1.0 nm
95% Confidence Interval
(Avg. Particle Diameter, 5000 particles)

Precision

Based on technical replicates of the same sample have been analyzed. And the result shows a Standard Deviation of sub 1 nm across all replicates. Additional information can be obtained from the application note.

< 1.0 nm
Standard Deviation
(Avg. Particle Diameter, 5000 particles)

Accuracy

Based on benchmarking the results of a trained human operator against the results generated by the machine learning model show human like results (>96% accuracy). Technical replicates demonstrate a 1-2% standard deviation on classification accuracy.

96.3%
⌀ Classification Accuracy
(Particle Morphological Class)

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Customer Satisfaction: Our Top Priority

Work with a trusted, professional provider

We are dedicated to providing an exceptional service, while our scientists guide you through the entire process

More than
300 samples
performed in 2024
Turnaround times of
2 weeks
possible
Over 99%
success
rates
Improve your r&D process with us

Areas of application

Formulation Development

Gain valuable insights to decipher the in-depth characteristics of your most promising formulations or obtain previously inaccessible perspectives on challenges.

Process Development

Better understand bottlenecks in your scale-up or downstream processes and their effect on LNP drug product. Gain the ability to more effectively address and mitigate them.

Batch-to-Batch Control

Ensure the most advanced understanding into batch-to-batch consistency to ensure your processes and products always control for highest LNP drug product integrity.  

Strengthen your IND Filing

Extend your IND filing with quantitative LNP cryo-EM data to showcase product quality, production consistency and in-depth understanding of its characteristics.

Our Service PACKAGES

Key insights, tailored to your needs

We recognize that every client has unique needs and preferences. Explore our packages’ features and choose the one that best fits your requirements.

R&D
Characterization

Best for early R&D & exploratory studies

Full Quantitative Characterization

Best for process optimization & comparability studies

Advanced Quantitative Characterization

Best for critical quality assesments & regulatory submissions

Only interested in the software?

Resources and Insights

Lipid Nanoparticles
LNP meets high-throughput Cryo-EM: Reliably quantifying LNP morphology The never-ending ...
10 April 2024
Structural Biology
REMSCHEID, NORTH RHINE-WESTPHALIA, GERMANY, March 1, 2023. ATEM Structural Discovery ...
31 August 2023
Structural Biology
ATEM presented cryo-EM in Charles River’s webinar featuring recent innovations ...
31 August 2023

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