376 8.5  Advanced In Silico Analysis Tools

for example, because the local nearest-​neighbor separation distance was less than the optical

resolution, but also may often comprise dimmer, faster moving spots that are individual

subunits of the molecular complexes that are brighter and diffuse more slowly and thus are

more likely to be detected in tracking analysis.

Convolution models can quantify this diffusive pool component on a cell-​by-​cell basis.

This is valuable since it enables estimates to be made of the total number of fluorescently

labeled molecules in a given cell if combined with information from the number and stoi­

chiometry of tracked distinct fluorescent spots. In other words, the distribution of copy

number for that molecule across a population of cell can be quantified, which is useful

in its own right, but which can also be utilized to develop models of gene expression

regulation.

The diffusive pool fluorescence can be modeled as a 3D convolution integral of the

normalized PSF, P, of the imaging system, over the whole cell. Every pixel on the camera

detector of the fluorescence microscope has a physical area ΔA with equivalent area dA in the

conjugate image plane of the sample mapped in the focal plane of the microscope:

(8.119)

dA

A

M

=

where M is the total magnification between the camera and the sample. The measured inten­

sity, I, in a conjugate pixel area dA is the summation of the foreground intensity I due to dye

molecules plus any native autofluorescence (Ia) plus detector noise (Id). I is the summation of

the contributions from all of the nonautofluorescence fluorophores in the whole of the cell:

(8.120)

I x y z

A

E I P x

x y

y z

x

i

i

i

i

0

0

0

1

0

0

0

,

,

,

,

(

)

=

(

)

=

d

`

Allcell voxels

s

where

Is is the integrated intensity of a single dye (i.e., its brightness)

ρ is the dye density in units of molecules per voxel (i.e., one pixel volume unit)

E is a function that represents the change in the laser profile excitation intensity over a cell

In a uniform excitation field, E =​ 1, for example, as approximated in wide-​field illumination

since cells are an order of magnitude smaller than the typical Gaussian sigma width of the

excitation field at the sample. For narrow-​field microscopy, the excitation intensity is uni­

form with height z but has a 2D Gaussian profile in the lateral xy plane parallel to the focal

plane. Assuming a nonsaturating regime for fluorescent photon emission of a given dye, the

brightness of that dye, assuming simple single-​photon excitation, is proportional to the local

excitation intensity; thus,

(8.121)

E x y z

x

y

xy

, ,

(

) =

+

exp

2

2

2

2σ

where σxy is the Gaussian width of the laser excitation field in the focal plane (typically a few

microns). In Slimfield, there is an extra small z dependence also with Gaussian sigma width,

which is ~2.5 that of the σxy value (see Chapter 3). Thus,

(8.122)

I x y z

A

I

x

y

i

All cell voxels

xy

0

0

0

1

2

2

2

,

,

(

)

=

+

=

d

exp

s

ρ

σ

(

)

P x

x y

y z

z

i

i

i

0

0

0

,

,