Society For The ADVANCEMNT OF PARASITE SYSTEMATICS & Taxonomy

Society For The ADVANCEMNT OF PARASITE SYSTEMATICS & Taxonomy Society For The ADVANCEMNT OF PARASITE SYSTEMATICS & Taxonomy Society For The ADVANCEMNT OF PARASITE SYSTEMATICS & Taxonomy
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Society For The ADVANCEMNT OF PARASITE SYSTEMATICS & Taxonomy

Society For The ADVANCEMNT OF PARASITE SYSTEMATICS & Taxonomy Society For The ADVANCEMNT OF PARASITE SYSTEMATICS & Taxonomy Society For The ADVANCEMNT OF PARASITE SYSTEMATICS & Taxonomy
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About SAPS-T

Our History

Our History

Our History

SAPS-T was founded in 2009 by Dr.  Michael B. Harevy and Dr.  David Serrano, Christine Sammon, MMLIS, Mattthew R. Dwyer, and Janina S. Mulling with the goal of more accessible diagnostic parasitic imaging, particularly in areas known for emerging neglected tropical disease.

Our Team

Our History

Our History

 Our team combines field biologists, lab and field technicians, and data specialists who work together from planning to final reporting. Biologists lead surveys and monitoring, technicians ensure consistent sampling and equipment setup, and data/GIS staff manage databases and mapping. Supported by project coordination and quality review, the team delivers reliable, defensible results. 

Our Goals

Our History

Our Goals

 Our Parasite AI Imaging Project is designed to deliver rapid, scalable, and consistent parasite screening that strengthens both research and routine monitoring. Using standardized microscopy imaging paired with machine-learning models, we automate segmentation, counting, and preliminary classification so raw images become reliable, compa

 Our Parasite AI Imaging Project is designed to deliver rapid, scalable, and consistent parasite screening that strengthens both research and routine monitoring. Using standardized microscopy imaging paired with machine-learning models, we automate segmentation, counting, and preliminary classification so raw images become reliable, comparable metrics across samples, sites, and time. By flagging uncertain cases for expert confirmation, the project aims to speed turnaround, improve early detection and decision-making, and expand surveillance capacity without compromising biological oversight. 

Publications & MAJOR REPORTS


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