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The chicken chorioallantoic membrane as a low-cost, high-throughput model for cancer imaging

Precision X-Ray

Apr 4, 2024

Here, we assessed the chicken chorioallantoic membrane (CAM) as an alternative to mice for preclinical cancer imaging...

A microthrombus-driven fixed-point cleaved nanosystem for preventing post-thrombolysis recurrence

IVIM Technology

Apr 3, 2024

A thrombin-responsive and fixed-point cleaved Fu@pep-CLipo was developed for highly efficient and precise thrombolysis...

Webinar: Multimodal Assessment of Hypoxia in Tumors: From the Lab to the Clinic

Bruker Biospin

Apr 2, 2024

25 April 2024, 4PM CET
This webinar will be of interest to multiple profiles in the community of biomedical
...

Multiplexed tissue imaging using the Orion platform to reveal the Spatial Biology of Cancer

RareCyte

Mar 27, 2024

In this webinar Prof. Sandro Santagata, will reveal how Orion high-plex imaging and the use of this data, is valuable...

Apr 20, 2024

Cytek SpectroFlo Software Version 3.3 has been released!

Cytek Biosciences

Mar 25, 2024

SpectroFlo Software Version 3.3 has been released, enabling new assays with SpectroFlo Software version 3.3, including...

A 19-color single-tube Full Spectrum Flow Cytometry for the detection of Acute Myeloid Leukemia

Cytek Biosciences

Mar 13, 2024

This recent publication in Cytometry Part A describes the development and comprehensive workflow of a single-tube,...

18F-labeled somatostatin analogs for somatostatin receptors (SSTRs) targeted PET imaging of NETs

MOLECUBES

Mar 11, 2024

A novel 18F-radiolabeled somatostatin analogue, [Al18F]NODA-MPAA-HTA, was synthesized and evaluated for positron...

Apr 20, 2024

Discover Yokogawa CellVoyager CQ1: Benchtop High-Content Analysis System

Yokogawa

Mar 8, 2024

Unlike flow cytometers, the CellVoyager CQ1 confocal quantitative image cytometer does not require pretreatment such as...

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CellPathfinder Software, High Content Analysis and powerful Deep Learning features

Feb 7, 2020

Deep learning-based image recognition has gained much attention in recent years. Yokogawa has also been observing this situation and, by recognizing patterns in images to identify what the images show, we succeeded in dramatically improving the recognition accuracy. High-accuracy recognition of targeted areas, such as cells and intracellular organelles.This is effective when the accuracy of existing recognition techniques is not enough, and the expertise in image analysis is not available.

.Improve analysis accuracy
.No expertise in image analysis required
.Save time for creating analysis protocols
.Phenotypic analysis can be conducted without object recognition

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Technical breakthrough
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Riccardo Pasculli

Head of application support

Riccardo

Pasculli

+420 731 127 717

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Yokogawa

Yokogawa is a leading provider of confocal quantitative live cell imaging platforms. Combining superior technology with engineering services, project management, and maintenance, Yokogawa delivers field proven operational efficiency, safety, quality, and reliability. 

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Confocal quantitative image cytometer CQ1 offers a new approach to image quantification

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