Infestation Counting
Infestation Counting - Related Videos
10:19
Using a Hemacytometer to Count Cells
0 Views •
2023
Many biomedical experiments require manipulation of a known quantity of cells, in order to achieve accurate, reproducible, and statistically-relevant data. Therefore, learning how to count cells is a particularly essential technique for any successful biomedical scientist. The most common way to count cells is by using a hemacytometer - an instrument that bears two laser-etched grids, which aid in the enumeration of an aliquot cells under a simple light microscope. This data can then be used to...
05:47
Counting and Determining the Viability of Cultured Cells
0 Views •
Cited by 19 •
2008
Determining the number of cells in culture is important in standardization of culture conditions and in performing accurate quantitation experiments. In this video, we demonstrate how cells are counted using a hemacytometer.
06:37
Counting Human Neural Stem Cells
0 Views •
Cited by 14 •
2007
Knowledge of the exact number of viable cells is required for many tissue culture manipulations. This protocol describes how to differentiate between live and dead cells and quantify cells using a hemacytometer. Although it describes counting human neural stem/precursor cells (hNSPCs), it can be used for other cell types.
05:38
A Versatile Model of Hard Tick Infestation on Laboratory Rabbits
0 Views •
Cited by 22 •
2018
We have developed a simple and versatile system to feed hard ticks on laboratory rabbits. Our non-laborious protocol uses easily accessible materials and can be adjusted depending on the requirements of the various experimental settings. The method allows comfortable monitoring and/or sampling of ticks during the entire feeding period.
11:25
Knowing What Counts: Unbiased Stereology in the Non-human Primate Brain
0 Views •
Cited by 22 •
2009
The anatomical organization of the primate brain can provide important insights into normal and pathological conditions in humans. Unbiased stereology is a method for accurately and efficiently estimating the total neuron number (or other cell type) in a given reference space1.
FAQs
Standardized sampling makes results comparable across locations and sampling dates because each count is obtained under a consistent plan. Without that consistency, an apparent increase or decrease may reflect differences in where or how observations were collected rather than a real population change. This comparability is especially important when evaluating habitat conditions, disturbances, or management practices.
The choice of metric changes what comparison emphasizes. A count records the number observed, whereas density expresses abundance in relation to the sampled area. Frequency and prevalence describe occurrence across sampling units or the share of hosts or sites affected. Using the appropriate measure helps researchers compare infestation patterns without treating raw totals and proportional measures as equivalent.
Accurate identification links each recorded organism or affected site to the pest or parasite actually being monitored. If different organisms are grouped together or misidentified, the resulting abundance estimate can be misleading and changes may be attributed to the wrong population. Reliable identification therefore strengthens early detection, site comparisons, and assessment of ecosystem conditions or management outcomes.
The measurement context sets the scale of the result. A count from a defined area, a host population, and an environmental sample does not describe exactly the same population or exposure. Researchers must therefore keep the sampling unit clear and consistent when comparing sites or dates. This prevents differences in scale from being mistaken for ecological change.
Begin by defining the area, host population, or environmental sample to be examined. Apply a standardized sampling approach, identify the organisms or affected sites accurately, and record observations systematically. Finally, express the findings using an appropriate measure such as a count, density, frequency, or prevalence. This sequence produces results that can support comparisons and decisions.
It is useful when researchers need to track population changes, assess habitat conditions, or examine effects of disturbance and management. Repeated measurements can reveal whether infestation is increasing, decreasing, or remaining stable, while comparisons among locations can show spatial differences. The resulting evidence supports monitoring, early detection, control decisions, and broader ecosystem health assessment.