Scientific Data / Article in Press
AIR-LEISH: A Dataset of Giemsa-Stained Microscopy Images for AI-based Leishmania amastigotes Detection
This paper introduces AIR-LEISH, a new dataset of 180 Giemsa-stained microscopy images of intracellular Leishmania amastigotes within experimentally infected macrophages. It includes expert annotations for 8,140 Leishmania amastigotes and 1,511 macrophages, designed to advance AI-based object detection and image segmentation for leishmaniases research and drug discovery. The dataset is publicly available on Zenodo, fostering collaborative initiatives.
Executive Impact: At a Glance
The AIR-LEISH dataset addresses a critical gap in leishmaniases research by providing a comprehensive, expert-annotated collection of microscopy images of intracellular Leishmania amastigotes. This resource enables the development of AI tools for rapid and accurate parasite detection, overcoming limitations of manual examination which is time-consuming and expertise-dependent. By facilitating automated analysis, AIR-LEISH accelerates drug discovery, improves diagnostic capabilities, and supports public health initiatives, particularly in low-resource settings.
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Annotated Images
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Leishmania Amastigotes
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Macrophages
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Annotation Reliability (Dice Score)
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Dataset Scale and Impact
8,140 Total Leishmania Amastigotes AnnotatedThis significant number of expert-annotated amastigotes, across 180 images, provides a robust foundation for training highly accurate AI models, addressing the critical lack of suitable public datasets for leishmaniases.
Robust Annotation and Validation Workflow
Microscopy Image Acquisition (180 images)
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Manual Annotation by Domain Experts (Roboflow)
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AI Engineer Refinement (Pixel-wise)
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Inter-annotator Agreement Analysis (Dice Score)
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Mask Generation (Semantic Segmentation)
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Dataset Structuring (Zenodo, COCO Format)
| Feature | U-Net (Segmentation) | YOLOv8 (Detection) |
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| Amastigote Precision (Test Set) |
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| Amastigote Recall (Test Set) |
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| Overall Segmentation/Detection Capabilities |
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| Key Strengths |
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Accelerating Leishmaniases Research & Diagnostics
The AIR-LEISH dataset supports a wide range of applications, from advancing drug discovery and pathogenesis research to developing diagnostic-supporting tools. Its open availability on Zenodo facilitates computational tool development, accelerating image-based research and minimizing manual effort in low-resource settings.
~1.25x Increase in infection rates observed in Set2 compared to Set1, highlighting biological diversity studies possible with the dataset. The dataset's utility extends to other intracellular pathogens and transfer learning applications.
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