07-Statement of Need_EVOS M7000.pdf
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- Solicitation number
- 75N98026Q01084
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Statement of Need Summary
This Statement of Need document outlines the acquisition requirement for the EVOS® M7000 Imaging System from Life Technologies, part of Thermo Fisher Scientific, by the Molecular Pathogenesis Group within the Division of Translational Toxicology (DTT) at the National Institute of Environmental Health Sciences (NIEHS) under the National Institutes of Health (NIH).
The Molecular Pathogenesis Group at NIEHS requires the EVOS M7000 Imaging System to support ongoing research on environmental endocrine disruptors (EDCs). The laboratory develops and studies 3D in vitro models that demand consistent, high-resolution imaging capabilities for evaluating cellular morphology, proliferation, and protein expression changes across multiple experimental conditions. The system will deliver enhanced imaging efficiency and automation through plate-scanning capabilities for 96-well plates, automated image acquisition, advanced fluorescence imaging, and live-cell imaging support. Key benefits include increased workflow efficiency, reduced manual imaging time, standardized data collection for large-scale experiments, and improved reproducibility and data quality to support NIH research activities.
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| File | Type | Posted |
|---|---|---|
| 14-NON Competitive CSS EVOS M7000 SOL 75N98026Q01084.docx | DOCX document |
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Statement of Need – Life Technologies part of Thermo Fisher Scientific - EVOS® M7000 Imaging System
At Molecular Pathogenesis Group, DTT, NIEHS, NIH conducts research focused on the effects of environmental endocrine disruptors (EDCs), which requires high-quality and high-throughput imaging capabilities for evaluating cellular morphology, proliferation, and protein expression changes. Our laboratory develops and study 3D in vitro models that require consistent, high-resolution imaging across multiple experimental conditions. The acquisition of the EVOS M7000 Imaging System will significantly improve imaging efficiency, automation, reproducibility, and data quality through enhanced plate-scanning capabilities, automated image acquisition, advanced fluorescence imaging, and live-cell imaging support. Its ability to automate imaging of 96-well plates will greatly increase workflow efficiency, reduce manual imaging time, and ensure standardized data collection for large-scale experiments supporting ongoing NIH research activities.
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