Battery quality science corner

Battery quality is a critical bottleneck to the electrification of everything

Raw material processing and production scale up get a lot of the attention, but battery quality is another critical bottleneck to the electrification of everything - one that's underestimated and under-served.

Studying latent defects in battery cells

Why are battery defects so hard to catch?

No electrochemical signature

A wide range of cell defects aren’t detectable with electrochemical tests, which the industry has primarily been relying on to distinguish bad from good cells.

Latent defects

An electric vehicle carrying a defective cell may drive smoothly for several thousand miles before any indication of pack failure emerges.

Our contributions to battery science

Our work with leading labs to further battery quality science

To help deepen the industry's understanding of battery quality, we have partnered with leading research institutions, including the Jeff Dahn Research Group, the Chueh Group, and Shirley Meng's Laboratory for Energy Storage and Conversion.

Featured research

January 12, 2025

Why we started Glimpse: The battery quality challenge and the case for CT

Published in *Nature Communications*.

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April 8, 2026

Why electrochemical data alone can’t predict how a battery will fail

Coauthored with Andrew Weng (University of Michigan) and William Chueh (Stanford University), published in *Joule*.

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March 11, 2026

Tracking electrolyte pumping: CT imaging validates a novel failure mode in high-silicon cylindrical cells

Coauthored with the Jeff Dahn Research Group and former Tesla colleagues, published in the *Journal of The Electrochemical Society*.

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More from the lab

March 3, 2026

Modeling “core collapse” in cylindrical battery cells: Using CT + finite element modeling to understand cell mechanics

Coauthored with the Juner Zhu lab at Northeastern University, published in *Experimental Mechanics*.

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February 12, 2026

Mapping the mechanics of “core collapse”: CT and digital volume correlation illustrate how cylindrical cells fail

Coauthored with Kamel Madi and colleagues at 3Dmagination, published in *EES Batteries*.

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December 9, 2025

Watching batteries breathe: How cell geometry evolves with state of charge

Coauthored with Cogswell Scientific, published in the *Journal of The Electrochemical Society*.

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November 26, 2025

Benchmarking the BYD LFP 4680 cell: Using CT to characterize cell design and quality

Coauthored with the Shirley Meng's Laboratory for Energy Storage and Conversion, published in the *Journal of The Electrochemical Society*.

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July 16, 2025

Swelling in aged prismatic cells: How CT reveals major mechanical effects on cell lifetime

Coauthored with the Juner Zhu lab at Northeastern University, published in *Cell Reports Physical Science*.

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July 6, 2025

“Searching for a pulse”: How CT can identify safety risks that electrochemistry misses

Coauthored with Paul Gasper at the National Renewable Energy Laboratory (NREL), published in the *Journal of The Electrochemical Society*.

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February 11, 2025

Minimal X-ray beam damage risks for lithium-ion batteries

Published in *Batteries*.

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July 4, 2024

The world’s largest open CT dataset for batteries: 1,000+ scans across multiple form factors and chemistries

Published in *Data in Brief*.

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April 10, 2026

Drops, shocks, and compression: Visualizing internal damage from impact testing via CT

Coauthored with the Juner Zhu lab at Northeastern University, published in the *Journal of The Electrochemical Society*.

READ THE WRITE UP

Keep learning

How CT can support your battery quality needs

CT for battery cells

What CT actually shows or doesn't inside a battery cell — components, defects, electrolyte, plating, and more.

Learn more

Scan On Demand for battery cells

Our published research on how cells fail and which defects matter.

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The Glimpse Portal

Explore our 1,000-cell demo in your browser.

Try the free demo

Scan On Demand

Glimpse Portal

Battery quality science corner

Battery quality is a critical bottleneck to the electrification of everything

Studying latent defects in battery cells

Why are battery defects so hard to catch?

No electrochemical signature

Latent defects

Our contributions to battery science

Our work with leading labs to further battery quality science

Featured research

Why we started Glimpse: The battery quality challenge and the case for CT

Why electrochemical data alone can’t predict how a battery will fail

Tracking electrolyte pumping: CT imaging validates a novel failure mode in high-silicon cylindrical cells

More from the lab

Modeling “core collapse” in cylindrical battery cells: Using CT + finite element modeling to understand cell mechanics

Mapping the mechanics of “core collapse”: CT and digital volume correlation illustrate how cylindrical cells fail

Watching batteries breathe: How cell geometry evolves with state of charge

Benchmarking the BYD LFP 4680 cell: Using CT to characterize cell design and quality

Swelling in aged prismatic cells: How CT reveals major mechanical effects on cell lifetime

“Searching for a pulse”: How CT can identify safety risks that electrochemistry misses

Minimal X-ray beam damage risks for lithium-ion batteries

The world’s largest open CT dataset for batteries: 1,000+ scans across multiple form factors and chemistries

Drops, shocks, and compression: Visualizing internal damage from impact testing via CT

Keep learning

How CT can support your battery quality needs

CT for battery cells

Scan On Demand for battery cells

The Glimpse Portal

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