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Morphogenesis is the ensemble of processes that determines form, shape and patterns in organisms. Based on a reaction-diffusion theoretical setting and some prototype reaction schemes, we make a review of the models and experiments that…

Cell Behavior · Quantitative Biology 2007-05-23 Rui Dilao

We examine a spatially discrete reaction diffusion model based on the interactions that create a periodic pattern in the Drosophila eye imaginal disc. This model is capable of generating a regular hexagonal pattern of gene expression behind…

Molecular Networks · Quantitative Biology 2010-01-26 Matthew W. Pennington , David K. Lubensky

The replication and differentiation of spots in reaction diffusion equations are studied by extending the Gray-Scott model with self-replicating spots to include many degrees of freedom needed to model systems with many chemicals. By…

Pattern Formation and Solitons · Physics 2009-11-07 Hiroaki Takagi , Kunihiko Kaneko

While most processes in biology are highly deterministic, stochastic mechanisms are sometimes used to increase cellular diversity, such as in the specification of sensory receptors. In the human and Drosophila eye, photoreceptors sensitive…

Cell Behavior · Quantitative Biology 2019-03-06 Haleh Ebadi , Michael Perry , Keith Short , Konstantin Klemm , Claude Desplan , Peter F. Stadler , Anita Mehta

The wings of Lepidoptera contain a matrix of living cells whose function requires appropriate temperatures. However, given their small thermal capacity, wings can overheat rapidly in the sun. Here we analyze butterfly wings across a wide…

Biophotonic nanostructures in butterfly wing scales remain fascinating examples of biological functional materials, with intriguing open questions in regards to formation and evolutionary function. One particularly interesting butterfly…

Properties of reaction zones resulting from A+B -> C type reaction-diffusion processes are investigated by analytical and numerical methods. The reagents A and B are separated initially and, in addition, there is an initial macroscopic…

Other Condensed Matter · Physics 2009-11-11 Ioana Bena , Michel Droz , Kirsten Martens , Zoltan Racz

A low dimensional nonlinear model based on the basic lighting mechanism of a firefly is proposed. The basic assumption is that the firefly lighting cycle can be thought to be a nonlinear oscillator with a robust periodic cycle. We base our…

Chaotic Dynamics · Physics 2020-02-05 Debashis Saikia , Madhurjya P. Bora

We show that customized optical patterns can be generated by employing feedback-based wavefront shaping without prior knowledge of the transmission matrix of optical systems. To control the spatial distribution of intensity within the…

Optics · Physics 2018-12-04 Peilong Hong

Aberrations limit optical systems in many situations, for example when imaging in biological tissue. Machine learning offers novel ways to improve imaging under such conditions by learning inverse models of aberrations. Learning requires…

Optics · Physics 2021-04-30 Ivan Vishniakou , Johannes D. Seelig

Large-scale coarse-grained molecular dynamics simulations of inhomogeneous gel networks were performed to investigate abnormal butterfly patterns in two-dimensional scattering. The networks were diamond lattice-based with distributions in…

Soft Condensed Matter · Physics 2025-01-20 Katsumi Hagita , Takahiro Murashima

Attention mechanisms have become a foundational component in diffusion models, significantly influencing their capacity across a wide range of generative and discriminative tasks. This paper presents a comprehensive survey of attention…

Machine Learning · Computer Science 2025-04-08 Litao Hua , Fan Liu , Jie Su , Xingyu Miao , Zizhou Ouyang , Zeyu Wang , Runze Hu , Zhenyu Wen , Bing Zhai , Yang Long , Haoran Duan , Yuan Zhou

We propose a method for designing multifocal diffractive lenses generating prescribed sets of foci with fixed positions at several different wavelengths. The method is based on minimizing the difference between the complex amplitudes of the…

Aberrations limit scanning fluorescence microscopy when imaging in scattering materials such as biological tissue. Model-based approaches for adaptive optics take advantage of a computational model of the optical setup. Such models can be…

Optics · Physics 2021-07-07 Ivan Vishniakou , Johannes D. Seelig

We present an analytic model of the lightcurve variation for stars with non-evolving starspots on a differentially rotating surface. The Fourier coefficients of the harmonics of the rotation period are expressed in terms of the latitude of…

Solar and Stellar Astrophysics · Physics 2022-08-17 Yasushi Suto , Shin Sasaki , Yuta Nakagawa , Othman Benomar

Diffusion models have emerged as powerful generative models, inspiring extensive research into their underlying mechanisms. One of the key questions in this area is the loss functions these models shall train with. Multiple formulations…

Machine Learning · Computer Science 2025-07-03 Dibyanshu Kumar , Philipp Vaeth , Magda Gregorová

The wings in different insect species are morphologically distinct with regards to their size, outer contour (margin) shape, venation, and pigmentation. The basis of the diversity of wing margin shapes remains unknown, despite the fact that…

Tissues and Organs · Quantitative Biology 2017-09-28 Yukitaka Ishimoto , Kaoru Sugimura

In nature, structural colour generation is based on discriminative light propagation associated with physical structures in the range of the wavelengths of light1. These iridescent structural colours are of immense significance2 but not…

Optics · Physics 2023-01-06 Naresh Yandrapalli , Baris Kumru , Tom Robinson , Markus Antonietti

Morphogens are secreted signaling molecules that mediate tissue patterning and growth of embryonic tissues. They are secreted in a localized region and spread through the tissue to form a graded concentration profile. We present a…

Denosing diffusion model, as a generative model, has received a lot of attention in the field of image generation recently, thanks to its powerful generation capability. However, diffusion models have not yet received sufficient research in…

Computer Vision and Pattern Recognition · Computer Science 2023-04-12 ZiHan Cao , ShiQi Cao , Xiao Wu , JunMing Hou , Ran Ran , Liang-Jian Deng
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