Deep learning for cellular image analysis
Recent advances in computer vision and machine learning underpin a collection of
algorithms with an impressive ability to decipher the content of images. These deep learning …
algorithms with an impressive ability to decipher the content of images. These deep learning …
[HTML][HTML] Software tools for 3D nuclei segmentation and quantitative analysis in multicellular aggregates
Today, we are fully immersed into the era of 3D biology. It has been extensively
demonstrated that 3D models:(a) better mimic the physiology of human tissues;(b) can …
demonstrated that 3D models:(a) better mimic the physiology of human tissues;(b) can …
[HTML][HTML] Number of necessary training examples for neural networks with different number of trainable parameters
In this work, the network complexity should be reduced with a concomitant reduction in the
number of necessary training examples. The focus thus was on the dependence of proper …
number of necessary training examples. The focus thus was on the dependence of proper …
Interstitial fibrosis and tubular atrophy measurement via hierarchical extractions of kidney and atrophy regions with deep learning method
Background and objective: Interstitial fibrosis and tubular atrophy (IFTA) are the most critical
characteristics of chronic kidney disease, and it is superior to glomerular pathology in …
characteristics of chronic kidney disease, and it is superior to glomerular pathology in …
Centroid calculation of the blastomere from 3D Z-Stack image data of a 2-cell mouse embryo
MM Trivedi, JK Mills - Biomedical Signal Processing and Control, 2020 - Elsevier
During cell surgery, cell manipulation tasks such as placement of cells, extraction of
organelles, blastomeres, or other structures from within a cell are essential. To enable these …
organelles, blastomeres, or other structures from within a cell are essential. To enable these …
Multi-scale structural analysis of proteins by deep semantic segmentation
Motivation Recent advances in computational methods have facilitated large-scale sampling
of protein structures, leading to breakthroughs in protein structural prediction and enabling …
of protein structures, leading to breakthroughs in protein structural prediction and enabling …
Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets
Segmenting three-dimensional (3D) microscopy images is essential for understanding
phenomena like morphogenesis, cell division, cellular growth, and genetic expression …
phenomena like morphogenesis, cell division, cellular growth, and genetic expression …
[PDF][PDF] Assessment of deep learning algorithms for 3D instance segmentation of confocal image datasets
Segmenting three dimensional microscopy images is essential for understanding
phenomena like morphogenesis, cell division, cellular growth and genetic expression …
phenomena like morphogenesis, cell division, cellular growth and genetic expression …
SATINN: An automated neural network-based classification of testicular sections allows for high-throughput histopathology of mouse mutants
R Yang, AM Stendahl, KA Vigh-Conrad, M Held… - …, 2022 - academic.oup.com
Motivation The mammalian testis is a complex organ with a cellular composition that
changes smoothly and cyclically in normal adults. While testis histology is already an …
changes smoothly and cyclically in normal adults. While testis histology is already an …
The “computable egg”: Myth or useful concept?
Abstract In 1994, Lewis Wolpert wondered “Will the egg be computable? That is given a total
description of the fertilized egg–the total DNA sequence and the location of all proteins and …
description of the fertilized egg–the total DNA sequence and the location of all proteins and …