Related Experiment Video
Updated: Jan 22, 2026
07:12
Spatio-Temporal In Vivo Imaging of Ocular Drug Delivery Systems using Fiberoptic Confocal Laser Microendoscopy
Published on: September 27, 2021
2.7K
Long-range spatio-temporal correlations in multimode fibers for pulse delivery.
Wen Xiong1, Chia Wei Hsu1, Hui Cao2
1Department of Applied Physics, Yale University, New Haven, CT, 06520, USA.
Nature Communications
|July 7, 2019
Summary
Researchers discovered long-range spatio-temporal intensity correlations in multimode fibers. This finding enhances control over optical pulse propagation and enables efficient power delivery at specific times.
Area of Science:
- Optics and Photonics
- Complex Systems Physics
Background:
- Long-range correlations are crucial for wave transport in disordered systems.
- Their study in other complex systems, like multimode fibers, is limited.
Purpose of the Study:
- To investigate spatio-temporal intensity correlations in optical pulses propagating through multimode fibers.
- To explore the role of these correlations in controlling pulse propagation and power delivery.
Main Methods:
- Analyzing optical pulse propagation through a multimode fiber with strong random mode coupling.
- Investigating the relationship between multiple scattering in fiber mode space, arrival time distributions, and correlation properties.
- Optimizing the incident wavefront of the pulse to maximize transmitted power at a specific time.
Main Results:
- Discovery of positive long-range spatio-temporal intensity correlations.
- Demonstration that these correlations arise from multiple scattering and depend on arrival time distributions.
- Significant enhancement of controlled power transmission at a selected time, directly linked to the observed correlations.
- Experimental validation of the explicit relation between correlation and power enhancement.
Conclusions:
- Multimode fibers serve as a valuable platform for studying complex wave phenomena.
- The identified strong spatio-temporal correlations offer a mechanism for efficient power delivery at precisely controlled times.
More Related Videos
Related Concept Videos
02:20Correlations
35.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
00:59Range
13.9K
The range is one of the measures of variation. It can be defined as the difference between a dataset's highest and lowest values. For example, in the study of seven 16-ounce soda cans, the filled volume of soda was measured, thus producing the following amount (in ounces) of soda:
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
13.9K
01:27Correlation and Causation
42.2K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.2K
01:16Pulse
2.0K
When the heart pumps blood out, arterial elastic fibers play a crucial role in sustaining a high-pressure gradient. They expand to accommodate the received blood and then recoil - a process known as the pulse that can be either manually palpated or electronically quantified. Despite a reduction in its effect with increased distance from the heart, elements of the pulse's systolic and diastolic components persist, observable even at the arteriole level.
The pulse serves as a clinical...
The pulse serves as a clinical...
2.0K
01:05Pulse
3.5K
The pulse is one of the most fundamental physiological indicators of the body's cardiovascular health. It is the rhythmic expansion and contraction of the arterial walls in response to the pressure generated by the heart's pumping action.
Pulse Rate and its Significance
Pulse rate, often measured in beats per minute (bpm), reflects the heart rate (HR), which is influenced by numerous factors such as stress, physical activity, and hormonal changes. A normal resting adult pulse rate falls...
Pulse Rate and its Significance
Pulse rate, often measured in beats per minute (bpm), reflects the heart rate (HR), which is influenced by numerous factors such as stress, physical activity, and hormonal changes. A normal resting adult pulse rate falls...
3.5K
01:09Correlation
14.8K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
14.8K