AIMC Topic: Microscopy
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Smart lattice light-sheet microscopy for imaging rare and complex cellular events.
Nature methods
Jan 2, 2024
Light-sheet microscopes enable rapid high-resolution imaging of biological specimens; however, biological processes span spatiotemporal scales. Moreover, long-term phenotypes are often instigated by rare or fleeting biological events that are difficu...
Microscopic urinary particle detection by different YOLOv5 models with evolutionary genetic algorithm based hyperparameter optimization.
Computers in biology and medicine
Dec 28, 2023
The diagnosis of kidney disease often involves analysing urine sediment particles. Traditionally, urinalysis was performed manually by collecting urine samples and using a centrifuge, which was prone to manual errors and relied on labour-intensive pr...
Deep learning for fast super-resolution ultrasound microvessel imaging.
Physics in medicine and biology
Dec 12, 2023
. Ultrasound localization microscopy (ULM) enables microvascular reconstruction by localizing microbubbles (MBs). Although ULM can obtain microvascular images that are beyond the ultimate resolution of the ultrasound (US) diffraction limit, it requir...
Accurate staging of chick embryonic tissues via deep learning of salient features.
Development (Cambridge, England)
Nov 16, 2023
Recent work shows that the developmental potential of progenitor cells in the HH10 chick brain changes rapidly, accompanied by subtle changes in morphology. This demands increased temporal resolution for studies of the brain at this stage, necessitat...
Evaluation of deep learning training strategies for the classification of bone marrow cell images.
Computer methods and programs in biomedicine
Nov 13, 2023
BACKGROUND AND OBJECTIVE: The classification of bone marrow (BM) cells by light microscopy is an important cornerstone of hematological diagnosis, performed thousands of times a day by highly trained specialists in laboratories worldwide. As the manu...
An End-to-End Platform for Digital Pathology Using Hyperspectral Autofluorescence Microscopy and Deep Learning-Based Virtual Histology.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Nov 4, 2023
Conventional histopathology involves expensive and labor-intensive processes that often consume tissue samples, rendering them unavailable for other analyses. We present a novel end-to-end workflow for pathology powered by hyperspectral microscopy an...
Engineering the future of 3D pathology.
The journal of pathology. Clinical research
Nov 2, 2023
In recent years, technological advances in tissue preparation, high-throughput volumetric microscopy, and computational infrastructure have enabled rapid developments in nondestructive 3D pathology, in which high-resolution histologic datasets are ob...
Deep learning in mesoscale brain image analysis: A review.
Computers in biology and medicine
Oct 27, 2023
Mesoscale microscopy images of the brain contain a wealth of information which can help us understand the working mechanisms of the brain. However, it is a challenging task to process and analyze these data because of the large size of the images, th...
Deep-learning-based cross-modality translation from Stokes image to bright-field contrast.
Journal of biomedical optics
Oct 20, 2023
SIGNIFICANCE: Mueller matrix (MM) microscopy has proven to be a powerful tool for probing microstructural characteristics of biological samples down to subwavelength scale. However, in clinical practice, doctors usually rely on bright-field microscop...
Deep-LASI: deep-learning assisted, single-molecule imaging analysis of multi-color DNA origami structures.
Nature communications
Oct 17, 2023
Single-molecule experiments have changed the way we explore the physical world, yet data analysis remains time-consuming and prone to human bias. Here, we introduce Deep-LASI (Deep-Learning Assisted Single-molecule Imaging analysis), a software suite...
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