Question about Cells and Cell Channels

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The discussion focuses on designing a cell with a specific number of open channels, requiring that the standard deviation of these channels does not exceed one percent of the expected number. Participants seek formulas for the minimum number of channels (M) in terms of probability (p) and density (q), as well as the minimum radius (a) of a spherical cell based on channel density (D). The minimum radius is calculated with the fixed probability of 0.05 and a channel density of 200 channels per μm², leading to a result of 8.69 μm. The Poisson distribution is suggested as a relevant concept for this problem, although it is not covered in the course material. Assistance is requested in deriving the necessary formulas and reaching the final answer.
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Imagine that it is possible to design cells of varying size. A cell is to be
designed with a membrane that has a stable number of open channels. To
this end, the number of channels must meet the following condition: the
standard deviation of the number of open channels shall be no more than
one percent of the expected number of open channels.

(a) In terms of p and q, give the formula for M, where M is the
minimum number of channels that the cell must have.

(b) Assuming a spherical cell, give a formula for a, where a is the
minimum radius that the cell must have to hold the required number
of channels, at density D. (answer must be in terms of q, D and p,
and constants only).

(c) What is the minimum radius, a, that the cell must have to hold the
required number of channels if the probability p is fixed at 0.05 and
D is 200 channels per μm2?



This is just review so if anyone could help me figure out this problem i would appreciate it. I know the answer to c is 8.69um, but unsure how to reach that result.
 
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Read up on the Poisson distribution.
 
thats not mentioned in our chapter at all (or in class) , could it be something else?

some help with solving the problem would be helpful.
 
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