# NCCAT: National Center for CryoEM Access and Training- Screening Supplement

> **NIH NIH U24** · NEW YORK STRUCTURAL BIOLOGY CENTER · 2021 · $279,300

## Abstract

Project Summary/Abstract
The National Center for CryoEM Access and Training (NCCAT), based at the New York Structural Biology Center,
provides access to state-of-the-art equipment, including specimen preparation robots, high-end microscopes
and direct detectors, screening microscopes, and all the other ancillary equipment required to solve structures
to the highest possible resolution using cryo electron microscopy (cryoEM) methods. A highly qualified technical
team provides direct support, guidance and assistance to ensure that structures of the highest quality are
produced in the shortest possible time. A cross-training program provides training to users across a wide variety
of skill levels and career goals.
This is a request for supplemental funding to support a grid preparation and screening (GPS) service for cryo-
TEM at NCCAT. The objective is to provide urgently needed support to groups who have limited experience
with the methods of cryoEM and limited access to local facilities. The goal will be to support these groups to
get them started while also training them in all possible aspects so that they can make best possible use of
every resource available to them as soon as possible.

## Key facts

- **NIH application ID:** 10424654
- **Project number:** 3U24GM129539-04S1
- **Recipient organization:** NEW YORK STRUCTURAL BIOLOGY CENTER
- **Principal Investigator:** BRIDGET Olivia CARRAGHER
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $279,300
- **Award type:** 3
- **Project period:** 2018-05-01 → 2024-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10424654

## Citation

> US National Institutes of Health, RePORTER application 10424654, NCCAT: National Center for CryoEM Access and Training- Screening Supplement (3U24GM129539-04S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10424654. Licensed CC0.

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