Research Articles
Commercial vs. In-House PCR for Protozoa Detection: A 2025 Guide for Diagnostics and Research
This article provides a comprehensive analysis for researchers and diagnostics professionals evaluating commercial and in-house PCR assays for protozoan detection.
High-Throughput Parasite Screening: Advanced Methodologies for Drug Discovery and Diagnostic Innovation
This article provides a comprehensive overview of modern high-throughput screening (HTS) methodologies transforming parasite research and drug development.
SYBR Green I vs. Image-Based Screening: A Comparative Analysis of Sensitivity in Modern Malaria Research
This article provides a comprehensive comparative analysis of SYBR Green I fluorescence assays and image-based phenotypic screening for malaria drug discovery and surveillance.
Strategies to Improve Anthelmintic Hit Rates: A Guide to Optimizing High-Throughput Screening Campaigns
The widespread emergence of anthelmintic resistance in parasitic nematodes poses a major threat to global health and livestock production, creating an urgent need for novel compounds.
Strategies to Reduce High Cost Per Sample in Automated Stool Analysis: A Guide for Biomedical Researchers
This article addresses the critical challenge of high per-sample costs in automated stool analysis, a significant barrier in gastrointestinal diagnostics and research.
Sedimentation Techniques for Liver Fluke Egg Detection: A Comprehensive Guide for Biomedical Research
This article provides a systematic review and comparative analysis of sedimentation-based methods for detecting Fasciola species eggs in fecal samples.
Evaluating YOLO Architectures for Parasite Detection: A Comprehensive Review of Accuracy, Efficiency, and Clinical Applications
This article provides a systematic evaluation of YOLO (You Only Look Once) architectures for automated parasite detection in medical microscopy.
Advanced Feature Extraction Techniques for Small Parasite Egg Detection in Microscopy Images
This article provides a comprehensive analysis of cutting-edge feature extraction methodologies designed to overcome the significant challenges in automated detection of small parasite eggs in microscopic images.
Optimizing Digital Scanner Focus for Thick Parasite Specimens: A Guide for Biomedical Researchers
This article provides a comprehensive guide for researchers and drug development professionals on overcoming the challenge of maintaining optimal scanner focus when imaging thick parasitological specimens, such as Kato-Katz smears...
Revolutionizing Parasitology: A Deep Learning Approach for Automated Intestinal Parasite Identification
Intestinal parasitic infections (IPIs) remain a significant global health burden, affecting billions and posing diagnostic challenges in resource-limited settings.