Whole Slide Image De-Identification and Data Processing

The contract entails the development and optimization of workflows for the bulk de-identification of whole slide image datasets, with the goal of removing all personally identifiable information while maintaining the data’s value for biomedical research. This includes implementing robust algorithms to anonymize image content and associated metadata, ensuring compliance with privacy standards without compromising diagnostic or analytical utility. The work will require large-scale data processing capabilities to handle the volume and complexity of whole slide images, alongside standardized metadata formatting to enable interoperability and consistent data use across research environments. Efforts must focus on scalable, efficient processing pipelines capable of handling extensive datasets, ensuring accuracy and consistency in de-identification across diverse imaging sources. The project demands expertise in biomedical imaging, data privacy protocols, and high-throughput computing, with performance metrics tied to both operational speed and data integrity. The place of performance is specified as 20817, and the contract falls under NAICS code 519130, indicating it is classified as other information services. As a subcontract under the National Institutes of Health, part of the Department of Health and Human Services, the work supports broader public health research initiatives by enabling secure sharing of critical pathological data. Proposals must be submitted by the deadline of May 20, 2026.