The main focus in this experiment was to find out if antibiotics affect yeast cells culture when added. The observation of the two cultures along with the yield of yeast cell reproduction between the two cultures was the sole purpose of the experiment; culture-A (- antibiotic) and culture-B (+ antibiotic).
Our hypothesis stated whether antibiotic effects yeast cells cultures. This theory was tested by having a chamber with quadrants that contain the culture, a hemacytometer, was used to carry out this experiment. After the data was collected from using the hemacytometer, the results of the difference between the two cultures was to be determined through a t-test. As the test was conducted, the study shows that the difference between lacking an antibiotic and containing one is not different. An antibiotic in culture-A and culture-B does not affect the number of yielded yeast cells.
Introduction.
It is undetermined whether or not antibiotics effect yeast cells reproduction. It has been hypothesized that antibiotics decrease the yield of yeast cells. This statement above is misinforming because antibiotics are used to kill bacteria, and yeast are not bacteria. Bacteria are prokaryotic while yeast, Saccharomyces cerevesiae, is eukaryotic. Yeast is used for fermentation to produce alcohol, and as well as to help give bread its shape (formation).
The Essay on Cell Biology Lab
1. (14 points) The HeLa S3 cancer cell line is considered to be “continuous” due to acquired mutations that enable the cells to evade senescence. This property is one of several hallmark characteristics of cancer cell lines. Describe three hallmark characteristics of cancer cells and summarize the history of the HeLa S3 cell line (be sure to describe the origin of the cells, the approximate year ...
Antibiotics have the same effect on both yeast and bacteria although they do not have the same structure. The experiment was carried out to compare the growth of cells in two different yeast cultures; culture-A lacked the antibiotic and culture-B contained the antibiotic.
Materials and Methods. — To conduct this experiment there must be the following; a hemacytometer, a Pasteur pipette, and a compound microscope. A hemacytometer is a counting chamber to count the number of cells in a known volume. Pasteur pipettes are used for transferring small quantities of liquids. They are normally tubes of glass that are structured to a narrow point, and fixed to a rubber bulb at the top. A compound microscope is a type of microscope that uses multiple lenses (4x, 10x, 40x) to collect light from the sample below and then uses a separate set of lenses to focus this light into the microscope’s eye piece.
This microscope uses a short focal length objective lens to form an enlarged image of bacteria or viruses for example. For this experiment, a group of four was split into two groups of two. One group of two was assigned to culture-A and the other was assigned to culture-B. Each culture was put into a Pasteur pipette and placed in a hemacytometer. The hemacytometers were placed on the stages of the compound microscope in order to count the yeast cells. One student in each group then count the cells in Q1 and Q2 the second student repeated the process in Q3 and Q4. At the end of this experiment the hemacytometer was rinsed clean and dried, back to its proper place.
Then the last thing to do is to record the two cells (X1 and X2) on the blackboard, and obtain the cell values from the other lab teams, to be able to further conclude this experiment. Since there numerical data has been collected the need to know whether or not there is a difference in the number of viable cells in the two populations. Statistical analysis would be the next step in this process, it is used to measure the variability of the collected data. First the arithmetic mean was gathered using the following formula: Average = (∑X)/N which was then used to calculate the variance (S^2) =〖Σ (measured value for each sample-average)〗^2/(N-1).
The Essay on Secondary Culture Cultures Cells Cell
THEORY: Cell culture studies are significantly reducing the need for animal research. Cell cultures contain living cells that grow in laboratory dishes and that scientists call in-vitro (in glass) cells. These cultures grow in nutrients (growth factors) collectively referred to as medium. There are tens of thousands of cell types. They come from human volunteers, animals, bacteria and plants. ...
Then the next formula was the standard deviation (S) = √(S^2 ).
Last we calculated the standard error (SE) = (standard deviation)/√N. After gathering the data s students’ t test was run to determine whether or not the two means were the same. Results. — The first step was to sum up the eight values from culture-A and dividing it by eight found the arithmetic mean. The same process was done for culture-B. Subtracting the mean from each numerical value, squaring it, and then dividing it by the number of numbers in the set found the variance. The square root of the variance gives us the standard deviation. Dividing the standard deviation by the square root of the number of observations gave us the Standard error. To know what the significant differences will be, degrees of freedom is used.
