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YSM Issue 95.2

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Wave Physics

“The sky looks

blue because blue

light is scattered [more]

strongly than red light,

and the reason why

we look opaque is

that there’s strong

scattering by the cells

in biological tissues.

That’s why we cannot

see through most

biological tissues.” We

encounter many things

in everyday life that we

cannot see through or send

information through—all

because of this strong

scattering of light.

H o w e v e r ,

scattering can

cause challenges in

applications such

as medicine, where

the opacity—or lack

of transparency—of

human tissues can limit

their visualization and

manipulation.

In recent years, researchers

have explored different

ways to transmit energy

through diffusive systems.

In medical applications,

for example, it is critical

to focus on delivering

and depositing energy

inside systems such as

human tissue instead of

simply sending energy

through the system.

Medical applications

include procedures like

photothermal therapy,

which uses heat generated by

near-infrared light to treat cancer, or deep

tissue imaging, which allows researchers

to image whole tissues without dividing

them into thinner sections.

Can’t We Just Send Light Into the System?

One of the greatest challenges in depthtargeted

delivery of light—in other

words, sending light into a specific spot

in the system—is that energy scatters in

multiple directions and diffuses upon

entering the system.

Previous research relied on controlling

the wavefront of the input energy wave to

limit diffusion, which allowed researchers to

focus light on a specific spot in a scattering

medium. A wavefront is an imaginary

surface where all the points are at the same

phase in their wave cycle (think of the ripples

you see when you drop something in water).

Shaping the wavefront involves controlling

the distribution of wave intensities and

phases in the input beam.

However, this method was less practical

for real-world applications because medical

targets such as tumors or neurons often

sprawl over a region rather than remaining in

a single focal spot. The upper limit on energy

deposition in a region at a certain depth in a

diffusive system, which is important to know

for practical applications of this technique,

was also unclear using this method.

Another difficulty lies in observing the

delivery of light into the system. “Scientifically,

it’s really easy to study sending something

into a system and measure something coming

out of a system—you just put a camera on one

end and input on the other,” said Nicholas

Bender, formerly a Yale doctoral student in

Cao’s lab and now a postdoctoral researcher

at Cornell University. “What’s hard to do is

to understand what this light is doing inside

a system because by observing the system,

you may interfere with it.” Simply put, trying

to see what was going on in the system could

mean inadvertently altering whatever process

was underway within it.

Lasers and Math

To confront this issue of targeted energy

delivery into diffusive systems, researchers at

Yale University performed a comprehensive

series of experiments, numerical simulations,

and theory. “I like to call it ‘creating and

controlling disorder, randomness, and chaos

with lasers,’” Bender said.

The team began by defining a matrix that

mathematically described the relationship

between the laser beam input into a diffusive

system and the way the light was distributed

across a region of specific depth in the system.

By running repeated simulations of virtual

disordered systems, the research team plotted

what different input beams would look like at

various points within the system.

The maximum energy that could be

delivered to the target region corresponded

to the largest eigenvalue of the deposition

matrix. Eigenvalues are factors

representing the scales of eigenvectors,

which are characteristic vectors in linear

algebra. The input wavefront could be

found from the eigenvector associated

with that largest eigenvalue.

Causing Chaos (On Purpose)

One unique feature of this study was the

experimental setup. The researchers devised

an experimental platform consisting of

a two-dimensional disordered structure

(picture a rectangular slab with holes

that randomly let light through) where

the optical field could be analyzed by the

researcher looking down at the platform

from above (from the third dimension).

“ This is new,” Cao said. “Before, people

usually made a three-dimensional sample.

With three-dimensional scattering, when

you send in the light, you cannot see it, so

you don’t know [which wavefront is best]

to deliver light. But by using this system,

we’re able to peek in, to take a look from the

third dimension, and say, ‘Oh, we see! This

is where we can deposit and how much.’”

For example, if you rolled a marble into a

non-transparent box, you wouldn’t be able

to see its path or where it stopped. If you

rolled that marble onto a sheet of paper, you

would be able to look down onto the paper

and track the marble’s progress.

According to Cao, creating this

experimental setup was not an easy process.

“It’s absurd how much effort we had to put

into making this disordered system just the

way we want it,” he said. “I mean, calibrating

and controlling disorder is ridiculous…it’s

crazy and great and horrible to do,” Bender

said. This breakthrough experimental

technique allowed the researchers to observe

scattering and light delivery with a degree of

control that had never before been possible.

Using a spatial light modulator, a device

that controls the intensity and phase

of light emitted, the researchers could

shape the wavefront of a laser beam in

one dimension. They found the twodimensional

field distribution inside the

system—the field of randomly scattered

light in the platform.

The two-dimensional sample consisted of

a silicon-on-insulator wafer with photoniccrystal

sidewalls to keep light inside the

system. The team added random optical

scattering to this system by etching a

20 Yale Scientific Magazine May 2022 www.yalescientific.org

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