(in beaker)
Osmosis is the movement of water across a semipermeable membrane (such as the cell membrane). The tonicity of a solution involves comparing the concentration of a cell’s cytoplasm to the concentration of its environment. Ultimately, the tonicity of a solution can be determined by examining the effect a solution has on a cell within the solution.
By definition, a hypertonic solution is one that causes a cell to shrink. Though it certainly is more complex than this, for our purposes in this class, we can assume that a hypertonic solution is more concentrated with solutes than the cytoplasm. This will cause water from the cytoplasm to leave the cell, causing the cell to shrink. If a cell shrinks when placed in a solution, then the solution is hypertonic to the cell.
If a solution is hypotonic to a cell, then the cell will swell when placed in the hypotonic solution. In this case, you can imagine that the solution is less concentrated than the cell’s cytoplasm, causing water from the solution to flow into the cell. The cell swells!
Finally, an isotonic solution is one that causes no change in the cell. You can imagine that the solution and the cell have equal concentrations, so there is no net movement of water molecules into or out of the cell.
In this exercise, you will observe osmosis by exposing a plant cell to salt water.
What do you think will happen to the cell in this environment? Draw a picture of your hypothesis.
Draw a typical cell in both pond and salt water and label the cell membrane and the cell wall.
You and your group will design an experiment to determine the relative molecular weights of methylene blue and potassium permanganate. You may use a petri dish of agar, which is a jello-like medium made from a polysaccharide found in the cell walls of red algae. You will also have access to a cork borer and a small plastic ruler.
Your experiment design should include all of the following portions:
As part of my research and my physics degrees I've been studying a lot about diffusion and diffusion-related subjects. After a while it finally hit me that I learned about diffusion before - in my highschool biology class. I thought about the experiments they showed us, and something didn't make sense. So I searched YouTube for diffusion demonstrations, and they looked pretty much the same - someone drops a bit of dye into a large water-filled beaker, and after a few minutes the entire beaker is colored.
At this point I realized how big the misconception about diffusion is! Most diffusion demos are completely wrong !
As I'll show you soon enough, diffusion on these scales takes weeks to happen! All of these demos in fact show a process called 'convection' in which the dye mixes due to currents and swirls in the liquid, not due to diffusion.
So, in this instructable I'll first try to convince you that there's something wrong with these experiments, and that we should re-evaluate how we demonstrate diffusion to student. Then, I'll show you how you can perform diffusion experiments the right way (there's more than one way, of course!). Finally, I'll discuss some of the consequences of the results, which can actually teach us a lot about the world we're living in.
My hope is that - if I convince you that the typical diffusion demos are wrong - you spread the word! Teach the ones you can! And on the other hand, if you think that I'm wrong here - I'd love to hear your opinion, see your experimental data, and talk about it!
I've been waiting to make an instructable about this subject for a while now, but I never really got to it. Finally, the science fair contest motivated me getting it done and posting this article :) I hope you like it!
I made a video about this project for those who like watching narrated videos
Step 1: what's wrong with typical diffusion demos.
In the diffusion demonstrations we're used to seeing, the main things that cause the dye to mix are not diffusion. It is swirls and currents in the liquid, a process called convection. Most commonly, a drop of dye is injected into a large water-filled beaker, and the audience watch as the color mixes (see the GIF I attached of such experiment I performed myself). The spread of the dye is said to be due to diffusion. However, this is not true. You can clearly see currents and swirls in the liquid (convection).
There are many things that cause the convection. First, the beakers are often wide open and so any currents in the air are transferred to the water, causing them to swirl. Next, since the top of the beaker is open, there's evaporation of water happening (see the drawing I attached). This means that the top of the water container becomes cooler than the bottom. Since cold water is slightly denser, it tends to sink, which leads to currents and swirls again. Finally, these experiments are often done with warm water in intent to show that diffusion is temperature-dependent. However, everything I just mentioned is also enhanced with the increased temperature! The difference between the beaker's temperature and the rest of the room is bigger, and so the water develops an even steeper temperature gradient, which makes everything even worse!
Diffusion, as it turns out, can be very very slow. Humans are used to seeing big things - things on the scale of a mm (1/25") are already pretty small for the human eye. However, diffusion is extremely inefficient at these sizes! Diffusion is fast and efficient only on the scale of microns and smaller, and if you follow along, you'll see exactly why!
This should not be discouraging - the fact that diffusion is slow on large scales - but quick on small scales - explains so much of the world around us, including a lot of biological phenomena, and I'll elaborate on that in the final section.
I'm not trying to say that diffusion experiments are impossible to see and demonstrate, I'm just saying that the most common form of diffusion demos is wrong! There are ways to do it right!
We need to make sure that convection doesn't happen in our experiment. Here are the things that helped me get it done. I tried skipping some of these, but it didn't work :)
I used a dye called Fluorescein which is very common in laboratories (often used for diffusion experiments). However, food coloring or ink work perfectly fine. If it's water soluble and has a strong color, it should be fine.
Capturing the data is important if we want to have a quantitative understanding of the phenomena. It will also let us see the diffusive behavior as a function of time even though things are moving slowly (see the GIF I attached - that's 48 hours!).
There are many ways analyze the experimental data. I found Tracker can be used in so many physics experiments that it's worth getting to know. It's available in many different languages (not only English), so young students from all over the globe can use it.
Download the Tracker software here . There's an online version but it doesn't work well.
An alternative to 'Tracker' is a software called 'ImageJ' or 'Fiji' (basically the same). It works great too, and has some advanced options too.
To start analyzing your videos, import them. Tracker accepts videos of many formats, but also sequences of images. Note that sequences of images need be named in a fixed format with a incrementing numbers. For example, Img001, Img002, Img003... are good file names (see first image)
You'll often want to rotate the image so that the direction you're interested in is horizontal. To do that, right-click the video, and press filters -> new -> rotate. Rotate the image in the desired direction (see second image).
I've also written a code python to analyze a sequence of images automatically , more about that (file included) in the data-analysis step.
We took images or videos of the real world, but the software has no way of knowing what we're looking at, what's it's size, and how often images were taken. We need to calibrate both space (distances) and time to physical units. You'll need to do this even if you analyze the data in a different software.
To Convert Pixels to Distance Units (GIF #1):
To Calibrate Time (GIF #2):
You can set the coordinate system (where x, y = 0) and its orientation on the screen by pressing the coordinate axes tool in the toolbar (see third image).
That's it, from this point on your measurements will be in physical units.
I'm including here 3 different types of analysis. I'll list them in order of complexity, the first one being the easiest one to use but also the least accurate, and the last one being the most complex and accurate method of analysis.
First Method - 'By Eye' (GIF #1):
The food coloring (or whatever ink or chemical you're using as dye) colors the water. We can look for the point where it is no longer visible, and track it's position over time.
Second Method - Intensity Profile (GIF #2):
The previous method lacks some accuracy. 'The point where the dye is not longer visible' is not well defined, and depends on the person analyzing the data. A more robust way of analyzing the data is by looking at the intensity profile of the image. Brighter regions have higher intensity than darker regions. We can measure in Tracker as well.
Third Method (GIF #3):
This method is basically an upgrade of the previous one. I wrote a python code that analyzes the data automatically. It runs through each image and measures the intensity profile along a selected region. It does a few extra things like removing the background noise and such. Also, I used a green dye so it analyzes the green channel of an RGB image, but you can make a small modification to the code to analyze other colors or all of them combined.
Step 7: how fast are things moving.
Now that we have tracked the diffusion process over time, we can start the final part of the experiment. In this part we will try to answer questions about the rate at which diffusion occurs.
By looking at the images we've aquired we already have an intuitive feeling for it - diffusion starts off pretty fast, but then, as time passes, it slows down. My experiment was running for 48 hours, and the test tube was far from well mixed. The typical distance the dye I used propagated was about 1cm (less than 1/2"). This is very slow, and very typical for diffusion in water!
I made a GIF of the time dependence of the intensity profile for the first 48 hours of the experiment. We can see that the profile changes very rapidly at first, but then it slows down. This is what we see in the images too, so that's a good sign the analysis works :) I then defined the point where the front of the intensity profile reaches a value of 50 gray points above the background intensity, and marked it with an orange circle on each of the profiles (see third method in the previous step for details). I called this point 'x_D' (D for diffusion).
Finally, I plotted x_D as a function of time (see the graph I attached). x_D is shown with orange markers. There's also a blue line on the graph. This graph describes a theoretical fit to the data. Diffusion has a very precise physical formulation which matches reality to very high accuracy. It suggests that diffusion should occur at a rate that scales as the square root of time. In other words, x_D should scale as: x_D ~ sqrt(D * t), where 'D' is the diffusion coefficient of the dye in water and 't' is time. So, I tried to fit the x_D data to a function of the form x_D = sqrt(D * t). The fit is very good, so it seems that diffusion does scale as the square root of time, as expected! I could also use the fitted function to get an estimate for the diffusion coefficient, and found that it is of the order of 4 * 10^-6 [cm^2/sec]. This is very close to the real value of the dye I used (5.5 * 10^-6 [cm^2/sec]). This difference was expected since I could have defined x_D slightly differently and end up with other results. Measuring the exact diffusion coefficient takes a little more effort than what I did here, but for an estimate and order-of-magnitudes this is perfectly fine.
We saw that x_D scales as x_D ~ sqrt(D * t). We can now ask, if we wanted for the dye to reach a point x_D away from the source of the dye, how long should we wait? This is answered by inverting the equation: t_D = (x_D ^2)/D. This seems mondane - nothing special, right? But this equaion dictates so much in biology and life. For example, have you ever wondered why cells are small? Why don't we see huge elephant-sized cells? One of the main reasons for that is that cells depend on diffusion to obtain nutrients. If cells were too big, diffusion would become inefficient. Using the diffusion coefficient we found, we see that diffusion will take about 40 minutes to pass just 1mm (1/25.4"), but it would take less than a second to pass a distance of 10 microns , a typical distance to travel when thinking about cells. For instance, when you exercise, your muscle cells need constant supply of oxygen. If the cells were too big (1mm sounds small, right?), diffusion would become inefficient and the oxygen supply wouldn't reach the inside of the cells fast enough. [the sizes-GIF was created base on Learn Genetics ]
We saw that diffusion experiments need careful attention and a lot of patience. I found that the best way to demonstrate this phenomenon is by capturing a video. You can do that with the students if you want to take this into the class-room. Another option would be to initiate the experiment on one day and looking at the results the next day. You'll see the dye has started to mix into the water.
On large scales, diffusion takes a very long time (over a mm or 1/25.4 of an inch is already considered large!), but on very small scales, such as the sizes of cells (a few microns), diffusion is a very efficient way to move things around. This explains a lot about biological processes and other physical phenomena. I think that once you develop intuition for the process and its time-scales, you can appreciate so many things about the world around us.
I hope you found this topic as interesting as I find it! And if you're in the world of teaching, I hope you spread the word! There's a huge misconception about diffusion due to wrongful demonstrations, and it's our job to make things right :)
To visit my instructables page and my website.
By the way, if you want to support my projects - subscribing to my new YouTube channel is currently the best way to do that! :)
First Prize in the Science Fair Challenge
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Diffusion happens when substances move from an area of high concentration to an area of low concentration. When the temperature is higher, it affects the diffusion process because molecules have more energy and move faster. Read on to learn more about diffusion versus temperature with simple experiments.
For the first simple experiment, you will need a clear container filled with water, food coloring, a darker color such as red is best, and you will need a watch. To start, add a single drop of coloring to the water’s edge in the container and start timing the moment the drop hits the water. Stop timing as soon as the color first reaches the opposite edge of the container. Repeat the procedure after cooling the water in the freezer or heating it up in the microwave or on the stove and compare the results.
Considerations
Make sure that the water stays calm throughout the experiment. For additional variability, you could also use clear liquids other than water, such as vinegar. Use caution when testing other liquids as they may be hazardous, especially when heated or cooled.
Expected Results
At higher temperatures, the water molecules in the container are moving more rapidly, which should cause the food coloring molecules to move more rapidly from one end of the container to the other. The opposite is true when the water is cold.
For the second experiment, you will need a strong-smelling substance and a room connected to an air conditioning system, along with a watch and a second person. Have the other person stand on the opposite side of the room from you and expose the scent to the air. For example, light a candle or spray some air freshener. At the same moment, start timing. When you first detect the scent, stop timing. Next, cool the room down or heat it up using the AC system and repeat the experiment, then compare the results.
Try to remove all sources of air flow from the room. Close all windows and turn off all fans, including the AC fan. Exact times will differ between individuals because each person’s nervous system reacts to smells at different concentrations. Therefore, exact results will not be the same when performed by a second person.
For the purposes of this experiment, the only real difference between a gas and a liquid is how far apart the molecules are, so the results for the second experiment should be similar to the first. At a higher room temperature, the smell should travel faster than at lower room temperatures.
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About the Author
Robert Mullis is is a graduate of Liberty University with a bachelor's degree in biochemistry and a second degree in accounting. As a writer, he specialized in math, biology, chemistry, literature, and business.
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Questions involving osmosis experiments are common and you should be able to use your knowledge of these processes to explain the results .Don’t worry if it is an experiment you haven’t done – simply figure out where the higher concentration of water molecules is – this is the solution with the higher water potential - and explain which way the molecules move due to the differences in water potential .
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10 Diffusion Examples
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Diffusion is the movement of atoms, ions, or molecules from an area of higher concentration to one of lower concentration. The transport of matter continues until equilibrium is reached and there is a uniform concentration through the material.
See diffusion for yourself with this simple experiment.
Expand upon this project by comparing the rate of diffusion in hot water versus cold water. If you use different colors of food coloring, explore color theory and see what you get when two different colors mix. For example, red and blue make purple, yellow and blue make green, and so on. Can you explain why food coloring diffuses in the water, but no into the oil?
Diffusion, together with osmosis and facilitated diffusion, are types of passive transport processes. What this means is that energy is not required for these processes to occur. They are thermodynamically favorable and driven by chemical potential or Gibbs free energy.
In contrast, active transport processes require the input of energy to occur. Active transport includes primary (direct) active transport and secondary (indirect) active transport. The first uses energy molecules as transport mediators. The second couples molecule movement with a thermodynamically favorable transport.
There are several types of diffusion, including:
Simple recipes for real science, diffusion and osmosis experiments.
Think about the way pollutants move from one place to another through air, water and even soil. Or consider how bacteria are able to take up the substances they need to thrive. Your body has to transfer oxygen, carbon dioxide and water by processes involving diffusion as well.
Lots of things can affect how fast molecules diffuse, including temperature. When molecules are heated up, they vibrate faster and move around faster, which helps them achieve equilibrium more quickly than they would if it were cold.
Diffusion takes place in gases (like air), liquids (like food coloring moving through water,) and even solids (semiconductors for computers are made by diffusing elements into one another.)
Every so often, measure the circle of food coloring as it diffuses into the jello around it. How many cm per hour is it diffusing? If you put one plate in the refrigerator and an identical one at room temperature, do they diffuse at the same rate? Why do you think you see more than one color for certain shades of food coloring? What else could you try?
Here’s a post on how to use this experiment to make sticky window decorations: https://kitchenpantryscientist.com/?p=4489
We made plates and did the same experiment using 2 cups of red cabbage juice , 2 cups of water and 4 packs of gelatin to see how fast a few drops of vinegar or baking soda solution would diffuse (a pigment in red cabbage turns pink when exposed to acid, and blue/green when exposed to a base!)
It’s also fun to experiment with the diffusion of substances across a membrane, like a paper towel. This is called osmosis. Membranes like the ones around your cells are selectively permeable and let water and oxygen in and out, but keep other, larger molecules from freely entering and exiting your cells.
For this experiment, you’ll need a jar (or two), paper towels, rubber bands and food coloring. Fill a jar with water and secure a paper towel in the jar’s mouth (with a rubber band) so that it hangs down into the water, making a water-filled chamber that you can add food coloring to. Put a few drops of food coloring into the chamber and see what happens.
top “chambers” for food coloring
Are the food coloring molecules small enough to pass through the paper towel “membrane?” What happens if you put something bigger, like popcorn kernels in the chamber? Can they pass through the small pores in the paper towel?
Do the same experiment in side-by-side jars, but fill one with ice water and the other with hot water. Does this affect the rate of osmosis or how fast the food coloring molecules diffuse throughout the water?
Think about helium balloons. If you take identical balloons and fill one with helium and the other with air, the helium balloon will shrink much faster as the smaller helium atoms diffuse out more quickly than the larger oxygen molecules.
Tags: diffusion , experiment , kids , osmosis In: Biology Experiments , Chemistry Experiments , Physics Experiments | 8 comments »
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January 2, 2012 By Emma Vanstone 9 Comments
I love a good cup of tea. In fact, I cannot actually function without one first thing in the morning. If you’re like me, then this investigation is definitely needed in your house so that you can ensure your kids are equipped with the best tea-making skills and have the best scientific knowledge to back up what makes a good cup of tea! This investigation looks at diffusion through the partially permeable membrane of a tea bag.
So firstly, we want to know what type of teabag makes the best drink?
Is it a square, a pyramid or a circle bag?
The activity involves using hot water, so adult supervision is essential.
You’ll need
A stopwatch/timer
A piece of white paper
3 clear glass mugs (you are going to add hot water, so not thin ones that could crack)
Circle, triangle and pyramid tea bags
Thermometer or kettle
1. On the piece of white paper, draw a cross with a marker pen
2. Place one mug over the cross
3. Add the circle teabag
4. Boil water from the kettle and measure out 150ml (if you have a thermometer, you can improve reliability by keeping the temperature constant)
5. Pour over the teabag and start the stopwatch
6. Time how long it takes for the cross to disappear
7. Repeat with the pyramid and square teabag.
8. To make the investigation results more accurate, repeat with each teabag three times.
Record your results in a table
So which teabag was quicker?
You should find that the pyramid teabag was the quickest.
Why do you think this is?
As the water is added to the teabag, it causes the tea leaves to move and triggers diffusion of the leaves. Diffusion is defined as the movement of a substance from an area of higher concentration to an area of lower concentration. There are lots of tea molecules in the bag and none outside. The leaves themselves can’t pass through the bag, but their smaller particles containing colour and flavour can (the teabag itself acts as the partially permeable membrane). The addition of heat (from the hot water) to the tea bag causes its molecules to move much faster than at room temperature. This energy is more readily released in a shorter period of time than a tea bag filled with room temperature or cold water. The teabag shape affects the surface area and the pyramid due to its 3D shape providing more surface area for diffusion to take place and more area in the middle for the tea molecules to move around in spreading the colour and flavour.
Ok, so now they know which is the best teabag to use and how to let it brew…so I suggest you ask for a nice cuppa now!
Last Updated on February 23, 2023 by Emma Vanstone
Science Sparks ( Wild Sparks Enterprises Ltd ) are not liable for the actions of activity of any person who uses the information in this resource or in any of the suggested further resources. Science Sparks assume no liability with regard to injuries or damage to property that may occur as a result of using the information and carrying out the practical activities contained in this resource or in any of the suggested further resources.
These activities are designed to be carried out by children working with a parent, guardian or other appropriate adult. The adult involved is fully responsible for ensuring that the activities are carried out safely.
January 06, 2012 at 8:20 pm
What a fun experiment. You always find ways to make the most ordinary things interesting. Thanks for sharing on Monday Madness.
January 06, 2012 at 9:43 pm
January 08, 2012 at 5:37 pm
Interesting especially since all my tea bags are rectangular. I don’t drink it a lot, but and getting to like it more and more. I haven’t tried many brands yet so I will have to start exploring it more. Fun exploration with the kids and I think they probably learned a lot about figuring things out on their own from it.
October 23, 2013 at 2:29 am
awesome job
February 17, 2014 at 8:32 pm
Jah hey thnx.i have learned smthng http://
February 23, 2014 at 12:40 am
Where did the square teabags come from? I have enjoyed tea in that shape but can’t recall what brand. Thanks!
April 29, 2014 at 7:13 pm
thanks! thats really helpful we’re doing a science project on how the shape of the tea bag affects the taste so that was really helpful!!
September 17, 2017 at 11:32 pm
Interesting and helpful. Thanks a lot. Although the cross takes a long time to remove for some reason. Wasnt sure in what marker to use though.
September 29, 2019 at 5:28 pm
WOW i love talking about tea irs so fun wowowowow i learnt science from tea omg wowowowowow omg tea is so interesting
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September 7
How does a speaker work, center of mass fork experiment, can you make dry ice cream.
Mechanobiology or the response of cells to forces or mechanical properties of their environment drives many physiological and pathological processes including development, wound healing, fibrosis and cancer. A variety of cell biological behaviors are driven by local mechanical properties including stem cell differentiation and drug resistance. Furthermore, cells can sense stiffness gradients and migrate up the gradient in a process called durotaxis. The development of 3D hydrogel systems with tunable mechanical gradient patterns affords the ability to run multiple experiments at different stiffness. This is critical as some cell behavior is not monotonically dependent upon stiffness. Additionally, the creation of mechanical property gradients within 3D hydrogels may be able to guide cells to particular targets forming complex cellular structures within the hydrogel or enhancing wound healing through directed migration. In this paper, we developed an approach to spatially imprint within alginate hydrogels, gradients in mechanical properties that can be used to probe mechanobiology. Stencils were easily designed and fabricated using a common craft cutter to control the presentation of a calcium crosslinking solution to alginate gels. Different stencil shapes result in different gradients in opacity that can be imprinted into both thick and thin alginate gels of arbitrary shape. The steepness of the opacity gradient as well as the maximum opacity can be controlled based on reproducible crosslinking kinetics regulated through calcium concentration and gradient developing time. Calcium crosslinking results in both opacity changes as well as increases in elastic modulus in the bulk hydrogel. Opacity correlates with elastic modulus, allowing it to be used as a proxy for local elastic modulus. Consequently, spatial gradients in elastic modulus can also be imprinted into alginate gels using this stenciling approach. This stenciling approach represents a facile way to control stiffness gradients in alginate gels.
The authors have declared no competing interest.
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Citation: Gao Chang, Chunsheng Feng, Jianmeng He, Shi Shu. Stability analysis of a class of nonlinear magnetic diffusion equations and its fully implicit scheme[J]. AIMS Mathematics, 2024, 9(8): 20843-20864. doi: 10.3934/math.20241014
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沈阳化工大学材料科学与工程学院 沈阳 110142
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Recent advancements in diffusion models, particularly the trend of architectural transformation from UNet-based Diffusion to Diffusion Transformer (DiT), have significantly improved the quality and scalability of image synthesis. Despite the incredible generative quality, the large computational requirements of these large-scale models significantly hinder the deployments in real-world scenarios. Post-training Quantization (PTQ) offers a promising solution by compressing model sizes and speeding up inference for the pretrained models while eliminating model retraining. However, we have observed the existing PTQ frameworks exclusively designed for both ViT and conventional Diffusion models fall into biased quantization and result in remarkable performance degradation. In this paper, we find that the DiTs typically exhibit considerable variance in terms of both weight and activation, which easily runs out of the limited numerical representations. To address this issue, we devise Q-DiT, which seamlessly integrates three techniques: fine-grained quantization to manage substantial variance across input channels of weights and activations, an automatic search strategy to optimize the quantization granularity and mitigate redundancies, and dynamic activation quantization to capture the activation changes across timesteps. Extensive experiments on the ImageNet dataset demonstrate the effectiveness of the proposed Q-DiT. Specifically, when quantizing DiT-XL/2 to W8A8 on ImageNet 256x256, Q-DiT achieves a remarkable reduction in FID by 1.26 compared to the baseline. Under a W4A8 setting, it maintains high fidelity in image generation, showcasing only a marginal increase in FID and setting a new benchmark for efficient, high-quality quantization in diffusion transformers. Code is available at \href{https://github.com/Juanerx/Q-DiT}{https://github.com/Juanerx/Q-DiT}.
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Title: udhf2-net: an uncertainty-diffusion-model-based high-frequency transformer network for high-accuracy interpretation of remotely sensed imagery.
Abstract: Remotely sensed image high-accuracy interpretation (RSIHI), including tasks such as semantic segmentation and change detection, faces the three major problems: (1) complementarity problem of spatially stationary-and-non-stationary frequency; (2) edge uncertainty problem caused by down-sampling in the encoder step and intrinsic edge noises; and (3) false detection problem caused by imagery registration error in change detection. To solve the aforementioned problems, an uncertainty-diffusion-model-based high-Frequency TransFormer network (UDHF2-Net) is the proposed for RSIHI, the superiority of which is as following: (1) a spatially-stationary-and-non-stationary high-frequency connection paradigm (SHCP) is proposed to enhance the interaction of spatially stationary and non-stationary frequency features to yield high-fidelity edge extraction result. Inspired by HRFormer, SHCP remains the high-frequency stream through the whole encoder-decoder process with parallel high-to-low frequency streams and reduces the edge loss by a downsampling operation; (2) a mask-and-geo-knowledge-based uncertainty diffusion module (MUDM) is proposed to improve the robustness and edge noise resistance. MUDM could further optimize the uncertain region to improve edge extraction result by gradually removing the multiple geo-knowledge-based noises; (3) a semi-pseudo-Siamese UDHF2-Net for change detection task is proposed to reduce the pseudo change by registration error. It adopts semi-pseudo-Siamese architecture to extract above complemental frequency features for adaptively reducing registration differencing, and MUDM to recover the uncertain region by gradually reducing the registration error besides above edge noises. Comprehensive experiments were performed to demonstrate the superiority of UDHF2-Net. Especially ablation experiments indicate the effectiveness of UDHF2-Net.
Subjects: | Computer Vision and Pattern Recognition (cs.CV) |
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This is by far the most simple experiment. However, you'll have to know beforehand that diffusion is the propagation of a substance from an area of high concentration to an area of low concentration, the purpose of which is to reach a state of equilibrium, or a state in which there is an even concentration of a substance across a medium.
ADVERTISEMENTS: The following points highlight the top five experiments on diffusion. The experiments are: 1. Diffusion of Solid in Liquid 2. Diffusion of Liquid in Liquid 3. Diffusion of Gas in Gas 4. Comparative Rates of Diffusion of Different Solutes 5. Comparative rates of diffusion through different media. Experiment # 1 Diffusion of Solid in […]
Diffusion is the movement of a substance from an area of high concentration to an area of low concentration. Diffusion occurs in gases and liquids. Particles in gases and liquids move around randomly, often colliding with each other or whatever container they are in. When they collide they change direction which means eventually they spread out ...
In one glass, pour the cold water and in the other hot water. As we mentioned, near-boiling water for hot and regular temperature water from the pipe will be good to demonstrate the diffusion. Drop a few drops of food coloring in each cup. 3-4 drops are enough and you should not put too much food color.
In this experiment, students place colourless crystals of lead nitrate and potassium iodide at opposite sides of a Petri dish of deionised water. As these substances dissolve and diffuse towards each other, students can observe clouds of yellow lead iodide forming, demonstrating that diffusion has taken place.
Osmosis is the movement of water across a semipermeable membrane (such as the cell membrane). The tonicity of a solution involves comparing the concentration of a cell's cytoplasm to the concentration of its environment. Ultimately, the tonicity of a solution can be determined by examining the effect a solution has on a cell within the solution.
Exercise 1: Diffusion Through a Gel. One factor that can affect the rate of diffusion is the size of the molecule. Larger molecules tend to move more slowly than smaller molecules. In this experiment, students will compare the diffusion rates of two dyes traveling through agar.
Diffusion is the movement of a substance from an area of high concentration to an area of low concentration due to random molecular motion. All atoms and molecules possess kinetic energy, which is the energy of movement. It is this kinetic energy that makes each atom or molecule vibrate and move around. (In fact, you can quantify the kinetic ...
We recommend using the latest version of Chrome, Firefox, Safari, or Edge. Mix two gases to explore diffusion! Experiment with concentration, temperature, mass, and radius and determine how these factors affect the rate of diffusion.
Diffusion - PhET Interactive Simulations
agar to visualize how diffusion changes depending on the size of the object taking up the material. Diffusion occurs when molecules in an area of higher concentration move to an area of lower concentration. As hydrogen ions from the vinegar move into the agar cube, the color of the cube changes, allowing you to see how far they have diffused.
Finally, this experiment is best done in a constant environment where the temperature is pretty constant over time. If you want to film it, a good place would be inside a cabinet or a closet. I used a dye called Fluorescein which is very common in laboratories (often used for diffusion experiments). However, food coloring or ink work perfectly ...
The simplest forms of transport across a membrane are passive. Passive transport does not require the cell to expend any energy and involves a substance diffusing down its concentration gradient across a membrane. A concentration gradient is a just a region of space over which the concentration of a substance changes, and substances will ...
Simple, fast, and fun experiment to help show what diffusion is.... Learn about diffusion with skittles! All you need are some skittles and a cup of warm water. Simple, fast, and fun experiment to ...
Experiment 1: Diffusion in a Liquid. For the first simple experiment, you will need a clear container filled with water, food coloring, a darker color such as red is best, and you will need a watch. To start, add a single drop of coloring to the water's edge in the container and start timing the moment the drop hits the water.
Diffusion is the movement of molecules from a region of higher concentration to a region of lower concentration; The rate of diffusion is influenced by several factors: Temperature; Surface area; Concentration gradient; Diffusion distance; You can investigate how temperature affects diffusion using beetroot. Beetroot cells contain a dark purple-red pigment; Heating above 45℃ can damage the ...
Examples of Diffusion. Perfume is sprayed in one part of a room, yet soon it diffuses so that you can smell it everywhere. A drop of food coloring diffuses throughout the water in a glass so that, eventually, the entire glass will be colored. When steeping a cup of tea, molecules from the tea cross from the tea bag and diffuse throughout the ...
Diffusion and Osmosis experiments 27 March 2012 - by KitchenPantryScientist. Diffusion is the name for the way molecules move from areas of high concentration, where there are lots of other similar molecules, to areas of low concentration, where there are fewer similar molecules. When the molecules are evenly spread throughout the space, it is called equilibrium.
1. On the piece of white paper, draw a cross with a marker pen. 2. Place one mug over the cross. 3. Add the circle teabag. 4. Boil water from the kettle and measure out 150ml (if you have a thermometer, you can improve reliability by keeping the temperature constant) 5.
Diffusion is the movement of a substance from an area of a high concentration to an area of low concentration. All you will need for this experiment are a few glasses of water and some food coloring. We will be looking at the diffusion of the food coloring in the water. Temperature is a measure of the average kinetic (moving) energy of molecules.
Diffusion is the process by which particles of one substance spread out through the particles of another substance. Diffusion is how smells spread out through the air and how concentrated liquids ...
1980-01-01. Described is a diffusion apparatus to be used in an undergraduate physical chemistry laboratory experiment to determine the diffusion coefficients of aqueous solutions of sucrose and potassium dichromate. Included is the principle of the method, apparatus design and description, and experimental procedure.
Science can be complex, but these diffusion examples make the concept easy to understand. Discover the ways diffusion works in the world around you!
Mechanobiology or the response of cells to forces or mechanical properties of their environment drives many physiological and pathological processes including development, wound healing, fibrosis and cancer. A variety of cell biological behaviors are driven by local mechanical properties including stem cell differentiation and drug resistance. Furthermore, cells can sense stiffness gradients ...
We studied a class of nonlinear magnetic diffusion problems with step-function resistivity $ \eta(e) $ in electromagnetically driven high-energy-density physics experiments. The stability of the nonlinear magnetic diffusion equation and its fully implicit scheme, based on the step-function resistivity approximation model $ \eta_\delta(e) $ with smoothing, were studied.
Recent advancements in diffusion models, particularly the trend of architectural transformation from UNet-based Diffusion to Diffusion Transformer (DiT), have significantly improved the quality and scalability of image synthesis. Despite the incredible generative quality, the large computational requirements of these large-scale models significantly hinder the deployments in real-world scenarios.
Comprehensive experiments were performed to demonstrate the superiority of UDHF2-Net. Especially ablation experiments indicate the effectiveness of UDHF2-Net. ... An Uncertainty-diffusion-model-based High-Frequency TransFormer Network for High-accuracy Interpretation of Remotely Sensed Imagery, by Pengfei Zhang and 2 other authors. View PDF;