Chapter 8 – Theoretical Biophysics  375

or one dimension as for translocation of molecular motors on a filament). As a rough guide,

this is equivalent to ~1017 fluorescent spots per liter for the case of molecules inside the cell

volume, which corresponds to a molar concentration of ~100 nM. For interested students,

an elegant mathematical treatment for modeling this nearest-​neighbor distance was first

formulated by one of the great mathematicians of modern times (Chandrasekhar, 1943) for a

similar imaging problem but involving astrophysical observations of stars and planets.

For example, consider the 2D case of fluorescent spots located in the cell membrane. The

probability p(r)dr must be equal to the probability that there are zero such fluorescent spots

particles in the range 0−r, multiplied by the probability that a single spot exists in the annulus

zone between r and r +​ dr. Thus,

(8.115)

p r

r

p r

r

rn r

r

( )

=

( )

⋅

d

d

d

1

2

0

π

where n is the number of fluorescent spots per unit area in the patch of cell membrane

observed in the focal plane using fluorescence microscopy. Solving this equation and using

the fact that this indicates that p rn in the limit r 0, we obtain:

(8.116)

p r

rn

r n

( ) =

(

)

2

2

π

π

exp

Thus, the probability p1(w) that the nearest-​neighbor spot separation is greater than a dis­

tance w is

(8.117)

p w

p r

r

rn

r n

r

w n

w

w

1

0

0

2

2

1

1

2

( ) =

( )

=

(

)

=

d

exp

d

exp

π

π

π

(

)

The effective number density per unit area, n, at the focal plane is given by the number of

spots Nmem observed in the cell membrane on average for a typical single image frame divided

by the portion, ΔA, of the cell membrane imaged in focus that can be calculated from a know­

ledge of the depth of field and the geometry of the cell surface (see Chapter 3). (Note in the

case of dual-​color imaging, Nmem is the total summed mean number of spots for both color

channels.)

The probability that a nearest-​neighbor spot will be a distance less than w away is given

by 1 − p1(w) =​ 1 − exp(−πw2Nmem/​A). If w is then set to be the optical resolution limit (~200–​

300 nm), then an estimate for 1 − p1(w) is obtained. Considering the different permutations of

colocalization or not between two spots from different color channels indicates that the prob­

ability of chance colocalization pchance of two different color spots is two-​thirds of that value:

(8.118)

p

w N

A

chance

mem

=

(

)

(

)

2 1

3

2

exp

/

π

It is essential to carry out this type of analysis in order to determine whether the putative

colocalization observed from experimental data is likely due to real molecular interactions or

just to expectations from chance.

8.5.4  CONVOLUTION MODELING TO ESTIMATE PROTEIN COPY NUMBERS IN CELLS

Fluorescence images of most cells containing which specific mobile molecule has been

fluorescently labeled inevitably are composed of a distinct spot component, that is, distinct

fluorescent spots that have been detected and tracked and a diffusive pool component. The

latter may be composed of fluorescent spots that have not been detected by automated code,