Finally, 5000 tiles (512 × 512 pixels) with maximum nuclei were labeled with distinct classes and considered as input for model training. In Deep Learning, the digital image can also be used as an important source of information by providing a large set of pixel data. For a computer, ...
3) and instrumentation that uses a piezo linear stage and camera, providing an avenue for the analysis of targets that are smaller than the wavelength of light. Fig. 1: High-throughput workflow for label-free single-DCV targeting and MS analysis. a, Schematic of MALDI MS workflow for high-...
A common difficulty in training deep neural networks lies in the lack of large-scale-labeled datasets. This problem becomes more pronounced when it comes to multimodality deformable image registration, where the ground truth deformation field is hard to obtain and very time consuming if possible. To...
this approach would likely be impractical due to the imaging time per sample and amount of data generated per condition. An alternative solution is to subsample the third dimension of the organoid, setting the z-step to approximate cell size to ensure that all cells comprising the organoids are...
Visual analysis of animal and human tissues is critical to understand complex diseases such as cancer or neurodegeneration. From basic immunohistochemistry to intravital imaging, confocal microscopy and advanced modalities can provide an understanding of cells, biomolecules and their interactions within their...
Leslie Echols, an avid tennis player and an associate professor at Missouri State University, adds that anyone can start playing the sport at any age, regardless of current skill or activity level. "I signed up for my first tennis lesson as a 40th birthday present to myself," she explains...
Transfer learning has become a new attempt to alleviate these challenges. Transfer learning first pre-trains the neural network on a large dataset (such as ImageNet [50]), then adds an adaptation layer [51] to the network and fine-tunes the whole with relatively smaller labeled data to impro...
In recent years, the genomes of an increasing number of species have been sequenced and published. While we are able to decipher the locations of the protein coding portions of many genes from genomic sequence information, the mechanisms that control when and where a gene is expressed are still...
of platelet aggregation in vivo while minimizing the effect of aggregation in vitro (see “sample preparation” in the Methods section for details of the sample preparation protocol). Image acquisition was performed at a high throughput of 100–300 events per second (eps), where an event is ...
Counting cells is a cornerstone of tracking disease progression in neuroscience. A common approach for this process is having trained researchers individually select and count cells within an image, which is not only difficult to standardize but also ver