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xz_007 [3.2K]
2 years ago
9

Which type of microscopy is useful for viewing colorless specimens? A. Transmission electron microscopy B. Light microscopy C. P

hase contrast microscopy
Biology
2 answers:
Sauron [17]2 years ago
8 0

The correct answer is:

C. Phase contrast microscopy

Phase contrast microscopy is commonly used for examining transparent and colorless objects phase contrast microscopy is a technique that allow a light to pass through a transparent specimen in order to form an image by manipulating the color reflection to our Retina.

Explanation:

The phase contrast microscope is generally used for monitoring such specimens as biological tissues. It is a variety of light microscopy that becomes contrasts of transparent and colorless objects by changing the optical path of light.Phase-contrast microscopy is an optical microscopy method that changes phase shifts in light moving through a crystalline specimen to brightness variations in the image.


trapecia [35]2 years ago
6 0
<span>The C. phase contrast microscopy is commonly used for examining transparent and colorless objects phase contrast microscopy is a technique that allow a light to pass through a transparent specimen in order to form an image by manipulating the color reflection to our Retina </span>
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Which type of biotechnology would be used by scientists who use the egg cell of an endangered animal to increase the population
Andrew [12]

Answer:

The answer to this is Genetic Engineering

Explanation:

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A nearby coworker using a torch to free up a stuck bolt accidentally ignites his shirtsleeve. as a trained first aid provider, y
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The first thing to do is activate EMS. Use cool or cold water to cool the burn for 10 minutes as soon as possible. ( Do not use ice or frozen compress.) Early cooling will minimize the depth of injury and decrease pain. Remove jewelry near the affected area. Cover the injury with dry,  clean pad loosely to protect it. Do not give food or drink to injured person. Keep him comfortable until EMS arrives and takes over.

4 0
2 years ago
19. If a scientist needs to use a large dataset to explore how corn grows in different soils, how would this data be classified?
Illusion [34]

<u>ANSWER:</u>

The correct option is B- Qualitative.

<u>EXPLANATION:</u>

When the growth of corn has to be recorded, the quality of the corn grown in different soils needs to be recorded. Qualitative methods are best used to classify quality of anything.

Qualitative data basically is non-numerical data which in the case of corns can be the length of the corn plant, the sweetness of the corn kernel or the hardness or softness of the corn. This data cannot be recorded using numerical values and so other methods of data recording cannot be used.

7 0
3 years ago
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Determine the median value for foot width for males and for females. Describe in complete sentences the method you used to deter
Ipatiy [6.2K]

Answer:

This question is incomplete because of the absence of the data referred to in the question

Explanation:

This question is incomplete but the data referred to in the question is attached below

In order to determine the median value of any set of data, the data is first of all rearranged chronologically (ascending) and then the middle value is picked if the number of data is odd but if the number of data is even, the two middle values are added together and then divided by two to get the median.

From the data provided, the values (which are 10 in number) can be arranged as shown below (with the median values in bold)

Females: 5, 7, 7, 7.5, 7.5, 7.8, 7.8, 8, 8, 17

Males: 4.5, 7.5, 9, 9, 9.2, 9.3, 10, 10, 10.5, 13

Since the number of data is even, the two middle numbers (in bold) shall be added together and then divided to get the median as shown below

The median value for the females foot width is = 7.5 + 7.8/2 = 7.65 cm

The median value for the male foot width is = 9.2 + 9.3/2 = 9.25 cm

4 0
2 years ago
The strand of dna used in the previous problem undergoes a mutation, such that the second c from the 3' end is changed to a
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Hope this helps! :)
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