AIMC Topic: Microscopy

Clear Filters Showing 511 to 520 of 584 articles

Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield Microscopy Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
We use deep learning methods to predict human induced pluripotent stem cell (hiPSC) formation using time-lapse brightfield microscopy images taken from a cell identified as the beginning of entered into the reprogramming process. A U-net is used to s...
Humans Deep Learning Time Factors Microscopy Induced Pluripotent Stem Cells Time-Lapse Imaging
View on PubMed DOI

Detection of live breast cancer cells in bright-field microscopy images containing white blood cells by image analysis and deep learning.

Journal of biomedical optics Jul 1, 2022
SIGNIFICANCE: Circulating tumor cells (CTCs) are important biomarkers for cancer management. Isolated CTCs from blood are stained to detect and enumerate CTCs. However, the staining process is laborious and moreover makes CTCs unsuitable for drug tes...
Humans Neural Networks, Computer Female Breast Neoplasms Deep Learning Leukocytes Microscopy
View on PubMed DOI

[Digital pathology].

Ugeskrift for laeger Jun 20, 2022
Digitalisation of pathology slides allows pathologists to make diagnoses using a high-resolution computer screen instead of a conventional microscope. In 2020/21, the four pathology departments in the Region of Southern Denmark implemented digital pa...
Humans Artificial Intelligence Workflow Microscopy Image Interpretation, Computer-Assisted
View on PubMed

Context-aware learning for cancer cell nucleus recognition in pathology images.

Bioinformatics (Oxford, England) May 13, 2022
MOTIVATION: Nucleus identification supports many quantitative analysis studies that rely on nuclei positions or categories. Contextual information in pathology images refers to information near the to-be-recognized cell, which can be very helpful for...
Humans Neural Networks, Computer Software Algorithms Neoplasms Microscopy Cell Nucleus
View on PubMed DOI

The Delta Robot-A long travel nano-positioning stage for scanning x-ray microscopy.

The Review of scientific instruments Apr 1, 2022
A new stage design concept, the Delta Robot, is presented, which is a parallel kinematic design for scanning x-ray microscopy applications. The stage employs three orthogonal voice coils, which actuate parallelogram flexures. The design has a 3 mm tr...
Computer Simulation Robotics Radiography Microscopy X-Rays
View on PubMed DOI

In vivo microscopy as an adjunctive tool to guide detection, diagnosis, and treatment.

Journal of biomedical optics Apr 1, 2022
SIGNIFICANCE: There have been numerous academic and commercial efforts to develop high-resolution in vivo microscopes for a variety of clinical use cases, including early disease detection and surgical guidance. While many high-profile studies, comme...
Artificial Intelligence Forecasting Microscopy Intravital Microscopy
View on PubMed DOI

Morphological components detection for super-depth-of-field bio-micrograph based on deep learning.

Microscopy (Oxford, England) Jan 29, 2022
Accompanied with the clinical routine examination demand increase sharply, the efficiency and accuracy are the first priority. However, automatic classification and localization of cells in microscopic images in super depth of Field (SDoF) system rem...
Algorithms Deep Learning Microscopy
View on PubMed DOI

Automated Microscopy Image Segmentation and Analysis with Machine Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
The development of automated quantitative image analysis pipelines requires thoughtful considerations to extract meaningful information. Commonly, extraction rules for quantitative parameters are defined and agreed beforehand to ensure repeatability ...
Machine Learning Image Processing, Computer-Assisted Microscopy
View on PubMed DOI

Deep learning multi-shot 3D localization microscopy using hybrid optical-electronic computing.

Optics letters Dec 15, 2021
Current 3D localization microscopy approaches are fundamentally limited in their ability to image thick, densely labeled specimens. Here, we introduce a hybrid optical-electronic computing approach that jointly optimizes an optical encoder (a set of ...
Algorithms Deep Learning Electronics Microscopy
View on PubMed DOI

Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search.

Bioinformatics (Oxford, England) Dec 11, 2021
MOTIVATION: Live cell segmentation is a crucial step in biological image analysis and is also a challenging task because time-lapse microscopy cell sequences usually exhibit complex spatial structures and complicated temporal behaviors. In recent yea...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Microscopy Time-Lapse Imaging
View on PubMed DOI
Popular Topics
Recent Journals