メディカル

メディカル

メディカル

脳神経外科、眼科、形成外科、耳鼻咽喉科、歯科の専門医向けに厳選された、最新の科学・臨床リソースを探索しませんか？ 貴重な症例や洞察、シンポジウムなど、多彩なコンテンツをご覧いただけます。 手術用顕微鏡の最先端技術に焦点を当て、AR蛍光、3D視覚化、術中OCTイメージングといった革新的技術が、複雑な手術の精度向上や意思決定の最適化にどのように貢献するかをご紹介します。

Fluorescent Dyes

A basic principle in fluorescence microscopy is the highly specific visualization of cellular components with the help of a fluorescent agent. This can be a fluorescent protein – for example GFP –…

The AI-Powered Pixel Classifier

Achieving reproducible results manually requires expertise and is tedious work. But now there is a way to overcome these challenges by speeding up this analysis to extract the real value of the image…

Using Machine Learning in Microscopy Image Analysis

Recent exciting advances in microscopy technologies have led to exponential growth in quality and quantity of image data captured in biomedical research. However, analyzing large and increasingly…

Applying AI and Machine Learning in Microscopy and Image Analysis

Prof. Emma Lundberg is a professor in cell biology proteomics at KTH Royal Institute of Technology, Sweden. She is also the director of the Cell Atlas, an integral part of the Swedish-based Human…
Image: Adult rat brain. Neurons (Alexa Fluor488, green), Astrocytes (GFAP, red), Nuclei (DAPI, blue). Image courtesy of Prof. En Xu, Institute of Neurosciences and Department of Neurology of the Second Affiliated Hospital of Guangzhou Medical University, China.

Multicolor Microscopy: The Importance of Multiplexing

The term multiplexing refers to the use of multiple fluorescent dyes to examine various elements within a sample. Multiplexing allows related components and processes to be observed in parallel,…

A New Method for Convenient and Efficient Multicolor Imaging

The technique combining hyperspectral unmixing and phasor analysis was developed to simplify the process of getting images from a sample labeled with multiple fluorophores. This aggregate method…

Considerations for Multiplex Live Cell Imaging

Simultaneous multicolor imaging for successful experiments: Live-cell imaging experiments are key to understand dynamic processes. They allow us to visually record cells in their living state, without…
H&E stained micrograph of an intramucosal esophageal adenocarcinoma (left) enhanced with Aivia’s Pixel Classifier (right)

Simplifying the Cancer Biology Image Analysis Workflow

As cancer biology data sets grow, so do the challenges in microscopy image analysis. Aivia experts cover how to overcome these challenges with AI.
Single timepoint of a drosophilia embryo, 3D object detection

Examining Critical Developmental Events in High-Definition

Extended live cell imaging of embryo development requires a delicate balance between light exposure, temporal resolution and spatial resolution to maintain cells’ viability. Compromises between the…
Beckman Coulter LinkBeckman Coulter LogoGenedata LinkIDBS LogoIDBS LinkIDBS LogoAbcam Limited LinkAbcam Limited LogoMolecular Devices LinkMolecular Devices LogoPhenomenex LinkPhenomenex LogoSciex LinkSciex LogoAldevron LinkAldevron LogoIDT LinkIDT Logo
Scroll to top