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Image-based quantification of Plasmodium sporozoites in a single oocyst using deep learning-based segmentation and 3D reconstruction

Award Number: R03AI180804
ORGANIZATION: NATIONAL INSTITUTE OF ALLERGY & INFECTIOUS DISEASES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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Project Summary Malaria remains an important public health issue. The oocyst stage is the most under-studied stage of the malaria parasite due to technical difficulties in isolating and staining these parasites and the lack of robust in vitro cultures. This is the expansion phase of the parasite in the mosquito host yet we have only a rudimentary understanding of the magnitude of this expansion: To date, only two studies have attempted to quantify the number of sporozoites in single oocysts, likely due to the time-consuming nature of manual counting. To overcome this and perform more robust quantification, we will develop methods to accurately quantify sporozoites in single oocysts using super-resolution imaging and deep-learning based image processing pipelines. The methodology will be validated by manual quantification. Furthermore, we will use the method to investigate mosquito species-specific differences in the magnitude of oocyst maturation using different parasite isolates in Asian and African mosquito vectors. This method can be further developed to classify oocyst microstructures and enable in-depth studies of stage specific gene and protein expression over the entire developmental cycle of the oocyst in combination with in situ -omics methodologies. It is also anticipated that an accurate assessment of the magnitude of oocyst maturation will improve our understanding of the quantitative dynamics of parasite transmission from mosquito to mammalian host.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = $73,688 )
2024	2024	THE JOHNS HOPKINS UNIVERSITY	3400 N CHARLES ST	BALTIMORE	MD	21218	BALTIMORE CITY	USA	Allergy and Infectious Diseases Research	000	1	11/17/2023	NEW	$73,688
														Subtotal = $73,688

Grand Total All Awards = $73,688

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Image-based quantification of Plasmodium sporozoites in a single oocyst using deep learning-based segmentation and 3D reconstruction

Award Number: R03AI180804

ORGANIZATION: NATIONAL INSTITUTE OF ALLERGY & INFECTIOUS DISEASES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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