15 papers · ranked by Valyu relevance
Xiongtao Ruan, Matthew Mueller, Gaoxiang Liu, Frederik Görlitz + 12 more
Light sheet microscopy is a powerful technique for high-speed 3D imaging of subcellular dynamics and large biological specimens. However, it often generates datasets ranging from hundreds of gigabytes to petabytes in size for a single experiment. Conventional computational tools process such images far slower than the…
Byron T. Belcher, Eliana H. Bower, Benjamin Burford, Maria Rosa Celis + 13 more
Image-based machine learning methods are quickly becoming among the most widely-used forms of data analysis across science, technology, and engineering. These methods are powerful because they can rapidly and automatically extract rich contextual and spatial information from images, a process that has historically…
Csaba Dávid, Kristóf Giber, Katalin Kerti-Szigeti, Mihaly Kollo + 2 more
Unsupervised segmentation in biological and non-biological images is only partially resolved. Segmentation either requires arbitrary thresholds or large teaching datasets. Here we propose a spatial autocorrelation method based on Local Moran’s I coefficient to differentiate signal, background and noise in any type of…
Mauro Silberberg, Hernán E. Grecco
Quantitative analysis of high-throughput microscopy images requires robust automated algorithms. Background estimation is usually the first step and has an impact on all subsequent analysis, in particular for foreground detection and calculation of ratiometric quantities. Most methods recover only a single background…
Sylvain Prigent, Hoai-Nam Nguyen, Ludovic Leconte, Cesar Augusto Valades-Cruz + 3 more
While fluorescent microscopy imaging has become the spearhead of modern biology as it is able to generate long-term videos depicting 4D nanoscale cell behaviors, it is still limited by the optical aberrations and the photon budget available in the specimen and to some extend to photo-toxicity. A direct consequence is…
Sawayama Masataka
This perspective on efficient color processing is based on three key findings from material perception studies. The first finding is that color and luminance are highly redundant in certain materials, particularly in wet or translucent objects with subsurface scattering . For example, there is a strong negative…
Xinwei Song, Joachim Goedhart
Fluorescence imaging is extensively utilized in biological research to study biomolecules at the single-cell level. Fluorescence images have a black background due to the inherent nature of fluorescence imaging. The black background fits well with dark themes that are used on screens and presentations. On the other…
Yuze Li, Jun Zhu, Pengcheng Xu, Min Guo + 2 more
Fluorescence microscopy plays a critical role in live-cell imaging, yet the captured images often suffer from significant noise due to limited excitation intensity and constrained exposure times. Deep learning has emerged as a powerful solution for image denoising, especially the self-supervised methods can achieve…
Gail McConnell
Microscopy datasets are often spatially sparse, wherein relevant structures occupy only a small fraction of the total field of view (FOV), leaving large regions of background devoid of signal. This inherent inefficiency creates file sizes that are larger than needed, which increases the time needed for computational…
Ritam Dutta, Bheem Dutt Joshi, Vineet Kumar, Amira Sharief + 4 more
Despite advancements in remote sensing, satellite imagery is underutilized in conservation research. Multispectral data from various sensors have great potential for mapping landscapes, but distinct spectral and spatial resolution capabilities are crucial for accurately classifying wildlife habitats. Our study aimed to…
Masahiko Tanahashi, Min-Chen Lin, Chung-Ping Lin
Disruptive colorations are camouflaging patterns that use contrasting colorations to interrupt the continuously of object’s edge and disturb the observer’s visual recognition. The GabRat method has been introduced and widely used to quantify the strength of edge disruption. The original GabRat method requires a…
Yiwei Hou, Wenyi Wang, Yunzhe Fu, Xichuan Ge + 2 more
Despite the grand advances in fluorescence microscopy, the photon budget of fluorescent molecules remains the fundamental limiting factor for major imaging parameters, such as temporal resolution, duration, contrast, and even spatial resolution. Computational methods can strategically utilize the fluorescence photons…
Tijl Grootswagers, Amanda K. Robinson, Sophia M. Shatek, Thomas A Carlson
The basic computations performed in the human early visual cortex are the foundation for visual perception. While we know a lot about these computations from work in non-human animals, a key missing piece is how the coding of visual features relates to our perceptual experience. To investigate visual feature coding…
Francesco Mantegna, Emanuele Olivetti, Philipp Schwedhelm, Daniel Baldauf
When we internally generate complex mental images, we need to combine multiple features or parts of a scene into a coherent whole. Direct evidence for such feature integration during visual imagery is still lacking. Moreover, cognitive control mechanisms, including memory and attention, exert top-down influences on the…
Shuang Tian, Xiaomin Mao, Rui Feng, Dahui Wang + 2 more
Both object knowledge retrieval and sensory imagery generation engage perceptual regions in the brain and exhibit representational overlap with perception. However, whether these processes rely on common or distinct internal representations remains unclear. We conducted an fMRI visual working memory experiment in…