An improved method for quantifying hematozoa by digital microscopy. 2008

Lucas W Degroote, and Paul G Rodewald
School of Environment and Natural Resources, The Ohio State University, 210 Kottman Hall, 2021 Coffey Rd, Columbus, Ohio 43210, USA. degroote.1@gmail.com

Intensity of hematozoan infection is infrequently quantified because accurate calculations require visual counts of parasites relative to a large number of erythrocytes. Manual quantification of erythrocytes can be circumvented by using ImageJ software (developed by the National Institutes of Health) to count erythrocyte nuclei from digital images. Here we use the ratio of microscope erythrocyte counts to digital image erythrocyte counts (field:image ratio) to extrapolate erythrocyte counts from smaller digital images to the microscope's larger field of view. Field:image ratios were consistently calculated from 10 slides (resampling P = 0.049) and used to rapidly estimate intensity of infection within 50,000 or more erythrocytes. Intensity of hematozoan infection calculated from manual quantification of 2,000 erythrocytes was significantly lower (0.46 times) than intensity calculated from digital quantification of 50,000 erythrocytes (bootstrap P = 0.02). We contend that digital quantification of hematozoan infection offers a rapid and precise method to quantify infections of low to moderate intensity.

UI MeSH Term Description Entries
D007091 Image Processing, Computer-Assisted A technique of inputting two-dimensional or three-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer. Biomedical Image Processing,Computer-Assisted Image Processing,Digital Image Processing,Image Analysis, Computer-Assisted,Image Reconstruction,Medical Image Processing,Analysis, Computer-Assisted Image,Computer-Assisted Image Analysis,Computer Assisted Image Analysis,Computer Assisted Image Processing,Computer-Assisted Image Analyses,Image Analyses, Computer-Assisted,Image Analysis, Computer Assisted,Image Processing, Biomedical,Image Processing, Computer Assisted,Image Processing, Digital,Image Processing, Medical,Image Processings, Medical,Image Reconstructions,Medical Image Processings,Processing, Biomedical Image,Processing, Digital Image,Processing, Medical Image,Processings, Digital Image,Processings, Medical Image,Reconstruction, Image,Reconstructions, Image
D008853 Microscopy The use of instrumentation and techniques for visualizing material and details that cannot be seen by the unaided eye. It is usually done by enlarging images, transmitted by light or electron beams, with optical or magnetic lenses that magnify the entire image field. With scanning microscopy, images are generated by collecting output from the specimen in a point-by-point fashion, on a magnified scale, as it is scanned by a narrow beam of light or electrons, a laser, a conductive probe, or a topographical probe. Compound Microscopy,Hand-Held Microscopy,Light Microscopy,Optical Microscopy,Simple Microscopy,Hand Held Microscopy,Microscopy, Compound,Microscopy, Hand-Held,Microscopy, Light,Microscopy, Optical,Microscopy, Simple
D011529 Protozoan Infections, Animal Infections with unicellular organisms formerly members of the subkingdom Protozoa. The infections may be experimental or veterinary. Animal Protozoan Infection,Animal Protozoan Infections,Infection, Animal Protozoan,Infections, Animal Protozoan,Protozoan Infection, Animal
D004906 Erythrocyte Count The number of RED BLOOD CELLS per unit volume in a sample of venous BLOOD. Blood Cell Count, Red,Erythrocyte Number,Red Blood Cell Count,Count, Erythrocyte,Counts, Erythrocyte,Erythrocyte Counts,Erythrocyte Numbers
D004912 Erythrocytes Red blood cells. Mature erythrocytes are non-nucleated, biconcave disks containing HEMOGLOBIN whose function is to transport OXYGEN. Blood Cells, Red,Blood Corpuscles, Red,Red Blood Cells,Red Blood Corpuscles,Blood Cell, Red,Blood Corpuscle, Red,Erythrocyte,Red Blood Cell,Red Blood Corpuscle
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D001715 Bird Diseases Diseases of birds not considered poultry, therefore usually found in zoos, parks, and the wild. The concept is differentiated from POULTRY DISEASES which is for birds raised as a source of meat or eggs for human consumption, and usually found in barnyards, hatcheries, etc. Avian Diseases,Avian Disease,Bird Disease,Disease, Avian,Disease, Bird,Diseases, Avian,Diseases, Bird
D001717 Birds Warm-blooded VERTEBRATES possessing FEATHERS and belonging to the class Aves. Aves,Bird
D016782 Apicomplexa A phylum of unicellular parasitic EUKARYOTES characterized by the presence of complex apical organelles generally consisting of a conoid that aids in penetrating host cells, rhoptries that possibly secrete a proteolytic enzyme, and subpellicular microtubules that may be related to motility. Sporozoa,Sporozoea,Apicomplexas,Sporozoas,Sporozoeas
D018512 Parasitemia The presence of parasites (especially malarial parasites) in the blood. (Dorland, 27th ed) Parasitemias

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