Results 201 to 210 of about 5,049,293 (271)
Aged human bmMSCs are seeded in the scaffold. Osteoblastic induction can slightly increase cell's bone‐forming activity to produce bone‐like tissues, shown as the sporadic xylenol orange‐stained spots (the lower left image). Notably, pioglitazone plus EGCG co‐treatment dramatically increases cell's bone‐forming activity and bone‐like tissue production (
Ching‐Yun Chen +6 more
wiley +1 more source
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon +6 more
wiley +1 more source
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
The role of lipid metabolism in neuronal senescence
Disrupted lipid metabolism, through alterations in lipid species or lipid droplet accumulation, can drive neuronal senescence. However, lipid dyshomeostasis can also occur alongside neuronal senescence, further amplifying tissue damage. Delineating how lipid‐induced senescence emerges in neurons and glial cells, and how it contributes to ageing and ...
Dikaia Tsagkari +2 more
wiley +1 more source
A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li +6 more
wiley +1 more source
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
European Conference on Computer Vision, 2016We consider image transformation problems, where an input image is transformed into an output image. Recent methods for such problems typically train feed-forward convolutional neural networks using a per-pixel loss between the output and ground-truth ...
Justin Johnson +2 more
semanticscholar +1 more source
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
IEEE International Conference on Computer Vision, 2023Content and style (C-S) disentanglement is a fundamental problem and critical challenge of style transfer. Existing approaches based on explicit definitions (e.g., Gram matrix) or implicit learning (e.g., GANs) are neither interpretable nor easy to ...
Zhizhong Wang, Lei Zhao, Wei Xing
semanticscholar +1 more source
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer
IEEE International Conference on Computer Vision, 2023Diffusion models have shown great promise in text-guided image style transfer, but there is a trade-off between style transformation and content preservation due to their stochastic nature.
Serin Yang, Hyunmin Hwang, Jong-Chul Ye
semanticscholar +1 more source
OmniStyle: Filtering High Quality Style Transfer Data at Scale
Computer Vision and Pattern RecognitionIn this paper, we introduce OmniStyle-1M, a large-scale paired style transfer dataset comprising over one million content-style-stylized image triplets across 1,000 diverse style categories, each enhanced with textual descriptions and instruction prompts.
Ye Wang +6 more
semanticscholar +1 more source
InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation
arXiv.orgStyle transfer is an inventive process designed to create an image that maintains the essence of the original while embracing the visual style of another.
Haofan Wang +5 more
semanticscholar +1 more source

