AIMC Topic: Coloring Agents
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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
Nov 4, 2022
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
Oct 26, 2022
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)
Oct 9, 2022
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
Sep 21, 2022
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
Aug 19, 2022
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...
Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Aug 12, 2022
The growing availability of scanned whole-slide images (WSIs) has allowed nephropathology to open new possibilities for medical decision-making over high-resolution images. Diagnosis of renal WSIs includes locating and identifying specific structures...
MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping.
Medical image analysis
Jun 23, 2022
To the best of our knowledge, artificial intelligence stain generation is an urgent requirement for histopathology images. Pathological examinations usually only utilize hematoxylin and eosin (H&E) regular staining to show histomorphological characte...
Can machine learning methods accurately predict the molar absorption coefficient of different classes of dyes?
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
May 30, 2022
In this article, we provide a convenient tool for all researchers to predict the value of the molar absorption coefficient for a wide number of dyes without any computer costs. The new model is based on RFR method (ALogPS, OEstate + Fragmentor + QNPR...
Automated stain-free histomorphometry of peripheral nerve by contrast-enhancing techniques and artificial intelligence.
Journal of neuroscience methods
Apr 15, 2022
BACKGROUND: Traditional histopathologic evaluation of peripheral nerve using brightfield microscopy is resource-intensive, necessitating complex sample preparation. Label-free imaging techniques paired with artificial intelligence-based image reconst...
A deep learning-driven low-power, accurate, and portable platform for rapid detection of COVID-19 using reverse-transcription loop-mediated isothermal amplification.
Scientific reports
Mar 8, 2022
This paper presents a deep learning-driven portable, accurate, low-cost, and easy-to-use device to perform Reverse-Transcription Loop-Mediated Isothermal Amplification (RT-LAMP) to facilitate rapid detection of COVID-19. The 3D-printed device-powered...
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