AIMC Topic: Coloring Agents

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SliDL: A toolbox for processing whole-slide images in deep learning.

PloS one
The inspection of stained tissue slides by pathologists is essential for the early detection, diagnosis and monitoring of disease. Recently, deep learning methods for the analysis of whole-slide images (WSIs) have shown excellent performance on these...

Plant-inspired multifunctional fluorescent cellulose nanocrystals intelligent nanocomposite hydrogel.

International journal of biological macromolecules
Intelligent hydrogel has great application potentials in flexible sensing and artificial intelligence devices due to its intrinsic characteristics. However, developing an intelligent hydrogel with favorable properties including high strength, superio...

Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning.

Nature biomedical engineering
A plaque assay-the gold-standard method for measuring the concentration of replication-competent lytic virions-requires staining and usually more than 48 h of runtime. Here we show that lens-free holographic imaging and deep learning can be combined ...

Digital Histopathology by Infrared Spectroscopic Imaging.

Annual review of analytical chemistry (Palo Alto, Calif.)
Infrared (IR) spectroscopic imaging records spatially resolved molecular vibrational spectra, enabling a comprehensive measurement of the chemical makeup and heterogeneity of biological tissues. Combining this novel contrast mechanism in microscopy w...

High-content video flow cytometry with digital cell filtering for label-free cell classification by machine learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
Recent development of imaging flow cytometry (IFC) has enabled the measurements of single cells with high throughput, where fluorescent labels provide specificity for cellular diagnosis. The fluorescent labels may disturb the cell functions, and the ...

Stain-Independent Deep Learning-Based Analysis of Digital Kidney Histopathology.

The American journal of pathology
Convolutional neural network (CNN)-based image analysis applications in digital pathology (eg, tissue segmentation) require a large amount of annotated data and are mostly trained and applicable on a single stain. Here, a novel concept based on stain...

Parameter Optimization of Support Vector Machine to Improve the Predictive Performance for Determination of Aflatoxin B in Peanuts by Olfactory Visualization Technique.

Molecules (Basel, Switzerland)
This study proposes a novel method for detection of aflatoxin B (AFB) in peanuts using olfactory visualization technique. First, 12 kinds of chemical dyes were selected to prepare a colorimetric sensor to assemble olfactory visualization system, whic...

Three-dimensional thermochromic liquid crystal elastomer structures with reversible shape-morphing and color-changing capabilities for soft robotics.

Soft matter
Functional structures with reversible shape-morphing and color-changing capabilities are promising for applications including soft robotics and biomimetic camouflage devices. Despite extensive studies, there are few reports on achieving both reversib...

Robot-assisted modified radical hysterectomy with removal of lymphatic vessel using indocyanine green: A new method.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The sentinel lymph node (SLN) procedures using indocyanine green (ICG) have recently been performed worldwide. The aim of this study was to emphasise the safety of robot-assisted modified radical hysterectomy (RAMRH) with removal of the l...