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Introducing Cytek NEW 25-Color Immunoprofiling Assay & Kit!

Cytek Biosciences

Oct 25, 2021

To unleash the power of the Cytek full spectrum cytometry system, Cytek scientists designed and developed the 25-Color...

Curiox webinar: Laminar Wash enables single-cell multiomics and cell hashing

Curiox

Oct 11, 2021

Professor Mats Bemark’s lab at the University of Gothenburg in Sweden studies how the immune system responds to...

IncuCyte Cell-by-Cell : advancing label-free morphological analysis

Sartorius & Essen BioScience

Sep 29, 2021

Cell morphology reveals valuable insight into cell health and status, and considerable heterogeneity exists in even the...

Meet ACCELA at International Conference Analytical Cytometry 2021

Cytek Biosciences

Sep 23, 2021

Meet us at International Conference Analytical Cytometry 2021. ACCELA will be present as...

Oct 28, 2021

See What's Possible with the PippinHT

Sage Science

Sep 14, 2021

Programmable DNA size selection enables new discoveries by helping optimize the library detected by a sequencer. That’s...

Introducing WOLF G2 - Benchtop microfluidic cell sorter

NanoCellect

Aug 31, 2021

The new WOLF G2 instrument has significantly expanded the capabilities of gentle benchtop microfluidic cell sorting...

Introducing New Aura 4.0 software

Spectral Instruments Imaging

Aug 27, 2021

With new features for both acquisition & analysis Aura Software enables you to capture and analyze your data quickly,...

Oct 28, 2021

Have you missed Cytek Aurora Cell Sorter launch @CYTO 2021?

Cytek Biosciences

Aug 17, 2021

If you have missed our Cytek Aurora Cell Sorter introduction at CYTO2021, here is another chance to watch it on-demand!

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Deep-Learning, Label-Free, Quantitative Cell Segmentation with IncuCyte

Sep 24, 2021

The Life Science Group Sartorius today announced publication of an article in Nature Methods describing the company’s LIVECell (Label-free In Vitro image Examples of Cells) deep-learning dataset for label-free, quantitative segmentation of live cell images. The open-source dataset includes 5000 label-free phase contrast microscopy images consisting of more than 1.6 million cells of eight cell types with distinct morphologies that have been manually annotated. The set of images includes cells grown from initial seeding densities to fully confluent monolayers, resulting in a large variation in cell size and shape.

“The ability to derive physiologically relevant data from label-free microscopy images is a cornerstone of pharmaceutical research and datasets containing images of millions of cells facilitate exploration of biological phenomena with great statistical power,” said Rickard Sjögren, PhD, Senior Scientist, Sartorius Corporate Research. “To compensate for a lack of image resolution, however, sophisticated imaging processing pipelines are necessary to generate the accurate cell-by-cell, pixel-by-pixel segmentations necessary to capture subtle changes in cell size, shape and texture, particularly if the goal is to investigate events at the level of cellular subpopulations or individual cells.”

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Sartorius & Essen BioScience

Essen BioScience & Sartorius is a team of engineers and biologists with deep expertise in cell-based assays and biomolecular interaction analysis. They invent, manufacture, supply and support instrumentation, reagents and protocols.

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