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Affordable Cryo-EM through Computational Enhancement of Structural Studies

Project description

New solution for efficient cryo-electron microscopy

Cryo-electron microscopy (cryo-EM) has transformed structural biology, enabling atomic-resolution protein structure determination without crystallisation through the imaging of flash-frozen specimens in vitreous ice. Despite the 2017 Nobel Prize recognition, current cryo-EM faces critical limitations: minimum protein size requirements (>50-100 kDa), sample homogeneity constraints and prohibitive costs (upwards of EUR 10 million for a 300 kV system and infrastructure from US/Japanese manufacturers). The EIC-funded ACCESS project radically reimagines this paradigm through 4D-STEM diffraction pattern acquisition, leveraging the EBEAM project's proven ptychographic reconstruction algorithms to achieve semi-atomic resolution of cryo-EM samples at a much lower cost.

Objective

Cryo-electron microscopy has transformed structural biology, enabling atomic-resolution protein structure determination without crystallization through imaging of flash-frozen specimens in vitreous ice. Despite the 2017 Nobel Prize recognition, current cryo-EM faces critical limitations: minimum protein size requirements (>50-100 kDa), sample homogeneity constraints, and prohibitive costs (€10M+ for 300 kV system and infrastructure from US/Japanese manufacturers). ACCESS radically reimagines this paradigm through 4D-STEM diffraction pattern acquisition at 30 kV, leveraging EBEAM's proven ptychographic reconstruction algorithms to achieve semi-atomic resolution of cryo-EM samples at 1/10th the cost.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-EIC - HORIZON EIC Grants

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Call for proposal

(opens in new window) HORIZON-EIC-2025-TRANSITIONOPEN

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Coordinator

DELMIC BV
Net EU contribution
€ 88 875,00
Address
OOSTSINGEL 209
2612 HL DELFT
Netherlands
SME
Yes
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
No data

Participants (3)