You are examining a bacterial smear on a light microscope. You observe pinkish-red bacilli and blue cells of various shapes. You are probably looking at a smear prepared with the ________ stain
A) Gram
B) Ziehl-Neelsen acid-fast
C) Schaffer-Fulton endospore
D) Gomori methenamine
E) Hematoxylin and eosin
B
Bloom's Taxonomy: Application
Section: Staining
Learning Outcome: 4.15
You might also like to view...
The microbiologist receives a sputum specimen that upon preliminary Gram staining review of direct smear, contains numerous squamous epithelial cells and an excessive amount of contami-nating normal flora. Based on the microbiologists knowledge, the microbiologist rejects the spe-cimen and requests a new sample. The physician insists that the microbiologist culture the sample as received. The
microbiologist should: a. disregard the physicians request and dis-card the specimen. b. notify their supervisor and write-up the physician. c. set-up the culture as ordered noting the lack of specimen integrity that may com-promise culture results. d. the microbiologist should have not called the physician and process the sample as received.
[NeedAttention]
src="data:image/png;base64,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
In the blood clotting process, platelets arrive at the site of damage and start secreting substances to attract more platelets. More platelets arrive at the site and secrete attractants to recruit more platelets. This is an example of:
A. positive feedback. B. negative feedback. C. electrical signaling. D. feedforward regulation.
A sick child may have influenza or RSV. These virus infections have different treatment options, so the physician requests antibody titer tests. The results are as follows: anti-influenza antibodies are primarily IgM, and anti-RSV antibodies are all IgA and IgG. Which of the following is the most appropriate interpretation?
A) The child has a current RSV infection and was previously exposed to influenza. B) The child currently has influenza and has previously been exposed to RSV. C) The child has concurrent influenza and RSV infections. D) The child has neither influenza nor RSV. E) The results do not provide sufficient data to draw a conclusion.