Sherman Chen 3B
Mr. Boyer
Biology 2
Blood Type Lab Report
Sherman Chen
3B
Sherman Chen 3B
Mr. Boyer
Biology 2
Introduction: The purpose, nature, and expected findings of the activity.
In this lab activity, we were first asked to find the blood types and then count the
number of blood cells. In the first part of the lab, we had to find the ABO and Rh
blood type of four simulated blood samples. We did this by observing the
antigen/antibody reaction in each of the four samples of simulated blood; if there
was agglutination it meant that was the blood type. In the second part of the lab, we
counted/estimated the number of red and white blood cells in the simulated blood
sample.
Hypothesis: What I expect of the results from the experiment and explanation.
For the second part of the lab, we think that the number of red blood cells will be
much larger than the number of white blood cells because red blood cells carry
oxygen around the body and white blood cells are for fighting off diseases.
Materials: Materials needed for the experiment.
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4 Blood typing slides
12 Toothpicks
1 Microscope slide
1 Coverslip
Compound microscope
Marker
4 Unknown blood samples:
o Mr. Smith
o Mr. Jones
o Mr. Green
o Ms. Brown
Simulated Anti-A Serum
Simulated Anti-B Serum
Simulated Anti-Rh Serum
Sherman Chen 3B
Mr. Boyer
Biology 2
Procedure: List of steps that we followed to complete the experiment.
Part A:
1. Label each of the four blood typing slides with the names: Mr. Smith; Mr. Jones;
Mr. Green; and Ms. Brown
2. Place three drops of each person’s blood in each of the A, B, and Rh wells of every
different slide.
3. Place three drops of the simulated anti-A serum in each A well on the four slides.
4. Place three drops of the simulated anti-B serum in each B well on the four slides.
5. Place three drops of the simulated anti-Rh serum in each Rh well on the four
slides.
6. Stir each well with a separate clean toothpick for 30 seconds. To avoid splattering
the simulated blood, do not press too hard.
7. Observe each slide and record the observations in a table. To confirm
agglutination try reading text through the mixed sample. If you cannot read the text,
assume you have a positive agglutination reaction.
8. Dispose the materials into the sink.
Sherman Chen 3B
Mr. Boyer
Biology 2
Part B:
1. Shake one of the vials of simulated blood and add one drop of simulated blood to a
microscope slide, and cover with a coverslip. Lower the coverslip slowly to avoid air
bubbles on the slide.
2. Find one square on the slide using the low power (10x) of the microscope.
3. Switch to high power (40x). Refocus and count the number simulated red blood
cells (red spheres) inside the ‘square’. Record the number in a table.
4. Count the number of simulated white blood cells (blue spheres) inside the
‘square’. Record the number in a table.
5. Repeat this two more times with a different ‘square’.
6. Calculate the average of the three red blood cell counts and the three white blood
cell counts. Record the results in a table.
7. Multiply the average number of red and white blood cells by the dilution factor to
determine the number of red and white blood cells per cubic millimeter. Record
each value in a table.
8. Dispose all materials down the sink.
Sherman Chen 3B
Mr. Boyer
Biology 2
Raw Data Presentation: Data showing results from the experiments.
Part 1: Reactions of Simulated Blood to Anti Serums
Slide #1 Mr.
Smith
Slide #2 Mr.
Jones
Slide #3 Mr.
Green
Slide #4 Ms.
Brown
Anti-A Serum
Anti-B Serum
Agglutinated
Not
Agglutinated
Agglutinated
Not
Agglutinated
Agglutinated
Not
Agglutinated
Not
Agglutinated
Not
Agglutinated
Anti-Rh
Serum
Agglutinated
Blood Type
Not
Agglutinated
Agglutinated
B Rh-
Not
Agglutinated
O Rh-
A Rh+
A Rh+
Sherman Chen 3B
Mr. Boyer
Biology 2
Part 2: Blood Cell Count
Blood sample: Mr. Jones
Blood
Cell
Cell
Cell
Count: Count
Type
1
:2
Red
(Red)
White
(Blue)
Cell
Count
:3
Total
# of
Cells
296
307
268
871
5
4
7
16
Avg. Dilution Total # Blood
#
Factor
Cells per mm3
Cells
or Avg. # Cells
or
x Dilution
Total
Factor
/3
290.3 150,000 43,550,000
3
5.33
5,000
26,666.67
Processed Data Presentation: Raw data presented in graph form.
Blood Cell Count
Cell Count
3
2
White
Red
1
0
100
200
Number of Cells
300
400
Sherman Chen 3B
Mr. Boyer
Biology 2
Conclusion: What the processed data means.
The first lab was very simple, we only had to find the blood type and Rh factor of the
simulated blood. If the blood agglutinated after the serum was added, the blood was
that blood type and either Rh positive or negative depending on the agglutination
again. In the second lab, we were asked to count the number of red and white blood
cells in a ‘square’ of the simulated blood under the compound microscope. From the
chart above, we can see that the number of red blood cells is much more greater
than the number of white blood cells, just as I predicted in my hypothesis. Human
needs lots of red blood cells to carry oxygen around the body. Unlike white blood
cells, which only operate when there is an infection, red blood cells are needed
constantly. A high white blood cell count should not occur unless you have a
bacterial, viral or other kinds of infection. Other groups had different totals because
of different samples but the ratio of white and red blood cells were all similar.
Although, the ratio could be different if the person had some sort of blood disorder.
Evaluation: Strengths, weaknesses and improvements of the process.
Some strengths we had in the process of doing our lab were: we completed the lab
in time; the results were as we predicted; and we did not have much complication in
the process of doing this lab. We could have improved on part two of the lab where
we had to count the number of blood cells because it was very rough counting since
we could not get a clear image of the blood cells from using the compound
microscope.