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SUMMARY:Open for (Cell) Science: Allen Cell and Structure Segmenter
DESCRIPTION:An open source tool for 3D segmentation of intracellular structures in fluorescence microscopy images\nThe Allen Cell and Structure Segmenter is a Python-based open source toolkit that enables users to combine classic image segmentation with iterative deep learning workflows. We developed a set of 20 classic image segmentation workflows that serve as a “lookup table” reference and starting point for users\, and also made this available as a plugin for the Napari viewer. The iterative deep learning workflow can take over when the classic segmentation workflow is insufficient. Two straightforward “human-in-the-loop” curation strategies convert a set of classic image segmentation workflow results into a set of 3D ground truth images for iterative model training without the need for manual painting in 3D. This webinar will prepare you to use the Allen Cell and Structure Segmenter in your research to process 3D fluorescent images for quantitative analysis. Presented by Kimberly R. Metzler\, PhD\, Senior Scientific Program Manager\, and Kaytlyn Gerbin\, PhD\, Scientist. \nREGISTER
URL:https://scienceinseattle.com/event/allen-cell-and-structure-segmenter/
LOCATION:Online
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SUMMARY:Open for (Cell) Science: Allen Cell and Structure Segmenter
DESCRIPTION:An open source tool for 3D segmentation of intracellular structures in fluorescence microscopy images\nThe Allen Cell and Structure Segmenter is a Python-based open source toolkit that enables users to combine classic image segmentation with iterative deep learning workflows. We developed a set of 20 classic image segmentation workflows that serve as a “lookup table” reference and starting point for users\, and also made this available as a plugin for the Napari viewer. The iterative deep learning workflow can take over when the classic segmentation workflow is insufficient. Two straightforward “human-in-the-loop” curation strategies convert a set of classic image segmentation workflow results into a set of 3D ground truth images for iterative model training without the need for manual painting in 3D. This webinar will prepare you to use the Allen Cell and Structure Segmenter in your research to process 3D fluorescent images for quantitative analysis. Presented by Kimberly R. Metzler\, PhD\, Senior Scientific Program Manager\, and Kaytlyn Gerbin\, PhD\, Scientist. \nREGISTER
URL:https://scienceinseattle.com/event/allen-cell-and-structure-segmenter-2/
LOCATION:Online
ATTACH;FMTTYPE=image/png:https://scienceinseattle.com/wp-content/uploads/sites/4/2021/05/Openforcellscience_BannersTitleCard_648x300.png
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LAST-MODIFIED:20210525T204312Z
UID:26705-1632218400-1632222000@scienceinseattle.com
SUMMARY:Open for (Cell) Science: Allen Cell and Structure Segmenter
DESCRIPTION:An open source tool for 3D segmentation of intracellular structures in fluorescence microscopy images\nThe Allen Cell and Structure Segmenter is a Python-based open source toolkit that enables users to combine classic image segmentation with iterative deep learning workflows. We developed a set of 20 classic image segmentation workflows that serve as a “lookup table” reference and starting point for users\, and also made this available as a plugin for the Napari viewer. The iterative deep learning workflow can take over when the classic segmentation workflow is insufficient. Two straightforward “human-in-the-loop” curation strategies convert a set of classic image segmentation workflow results into a set of 3D ground truth images for iterative model training without the need for manual painting in 3D. This webinar will prepare you to use the Allen Cell and Structure Segmenter in your research to process 3D fluorescent images for quantitative analysis. Presented by Kimberly R. Metzler\, PhD\, Senior Scientific Program Manager\, and Kaytlyn Gerbin\, PhD\, Scientist. \nREGISTER
URL:https://scienceinseattle.com/event/allen-cell-and-structure-segmenter-3/
LOCATION:Online
ATTACH;FMTTYPE=image/png:https://scienceinseattle.com/wp-content/uploads/sites/4/2021/05/Openforcellscience_BannersTitleCard_648x300.png
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DTSTART;TZID=America/Vancouver:20210921T153000
DTEND;TZID=America/Vancouver:20210921T163000
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SUMMARY:Research Roundtable with Dr. Andrew Magis
DESCRIPTION:Identifying Markers for Cancer Years Before Diagnosis\nSeptember 21\, 2021 at 3:30 PM PT\nRegister to receive access to this online event.\n  \nISB’s Research Roundtable series is a chance for you to hear from our leading scientists on their latest research and to ask your most pressing questions on the subject. If you would like to register for our other scheduled talks in the series you can register at the links below. \nCheck out our Events Page for more upcoming events. \nA link to the event will be emailed to you upon registration. If you have additional questions\, please email Audri Hubbard at ahubbard@isbscience.org.
URL:https://scienceinseattle.com/event/research-roundtable-with-dr-andrew-magis/
LOCATION:Online
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DTSTART;TZID=America/Vancouver:20210921T153000
DTEND;TZID=America/Vancouver:20210921T163000
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SUMMARY:Research Roundtable with Dr. Andrew Magis
DESCRIPTION:Identifying Markers for Cancer Years Before Diagnosis\nSeptember 21\, 2021 at 3:30 PM PT\nRegister to receive access to this online event.\n  \nISB’s Research Roundtable series is a chance for you to hear from our leading scientists on their latest research and to ask your most pressing questions on the subject. If you would like to register for our other scheduled talks in the series you can register at the links below. \nCheck out our Events Page for more upcoming events. \nA link to the event will be emailed to you upon registration. If you have additional questions\, please email Audri Hubbard at ahubbard@isbscience.org.
URL:https://scienceinseattle.com/event/research-roundtable-with-dr-andrew-magis-2/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20210921T153000
DTEND;TZID=America/Vancouver:20210921T163000
DTSTAMP:20210621T162106Z
CREATED:20210621T162106Z
LAST-MODIFIED:20210621T162106Z
UID:26716-1632238200-1632241800@scienceinseattle.com
SUMMARY:Research Roundtable with Dr. Andrew Magis
DESCRIPTION:Identifying Markers for Cancer Years Before Diagnosis\nSeptember 21\, 2021 at 3:30 PM PT\nRegister to receive access to this online event.\n  \nISB’s Research Roundtable series is a chance for you to hear from our leading scientists on their latest research and to ask your most pressing questions on the subject. If you would like to register for our other scheduled talks in the series you can register at the links below. \nCheck out our Events Page for more upcoming events. \nA link to the event will be emailed to you upon registration. If you have additional questions\, please email Audri Hubbard at ahubbard@isbscience.org.
URL:https://scienceinseattle.com/event/research-roundtable-with-dr-andrew-magis-3/
LOCATION:Online
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