Top Tweets for #computationalmicroscopy
An Editors' Pick via #OPG_BOEx: Towards a mobile quantitative phase imaging microscope with smartphone phase-detection sensors https://t.co/yM0Ou4LDI7 #PhaseGradientImaging #ComputationalMicroscopy @DukeU
Via #OPG_Optica: High-speed 4D fluorescence light field tomography of whole freely moving organisms https://t.co/9aOfpAtV5J #VolumetricFluorescenceImaging#4DImaging #ComputationalMicroscopy
📣 New Research Lecture
Miroslav Hekrdla's lecture on "Application of Detection Theory in Filter Design for Single-Molecule Localization Microscopy" is now available on YouTube:
👉 https://t.co/iiROfQD0kk
#SMLM #SuperResolution #ComputationalMicroscopy
Live-cell imaging powered by computation
#ComputationalMicroscopy #MachineLearning
Spatiotemporal resolution
(Use synthetic data to train #SingleMoleculeLocalizationMicroscopy😎)
Color multiplexing-Spectral unmixing
@SulianaManley @NatRevMCB 2024
https://t.co/TnxCPeYgCS
Our work on nanoscale synchrotron X-ray chemical imaging is now featured in @IEEESpectrum! Thanks to the team & all collaborators for making this possible! 🙌 #SynchrotronXray #ComputationalMicroscopy
👉 Read all about it: https://t.co/9h5HRq5BIG
Last week, we had the pleasure of inviting Professor Aydogan Ozcan @InnovateUCLA who gave an excellent talk about #deeplearning-enabled #computationalmicroscopy and #diffractiveimaging that shined light on the synergy between deep learning and physics research!
Morning #bioimageanalysis community🌻& #computationalmicroscopy lovers💜#newpreprint #newtool #goodfun!
Colleagues@ @HenriquesLab 've developed the exciting #NanoPyx to optimally speed up🐰microscopy+superres data analysis in a super extremely easy (yes, superlative) way👀👇
Hey #Microscopy 🔬 Twitter! We have a new #preprint out 🚨🔥🚨 #NanoPyx is a #Python ��� bioimage analysis framework that can dynamically exploit the hardware of YOUR computer to improve performance by over 10-fold! https://t.co/DxeHLad8J4
Happy to share that our perspective on whole-cell modelling using #Martini is out in @FrontChemistry!
To showcase the capabilities of the #Martini ecosystem, we build a model of an entire cell with near atomistic resolution. #ComputationalMicroscopy
https://t.co/JqmhkReo7A
#ComputationalMicroscopy
Final colloquium of the year, from Laura Waller (UCB).
Some really neat ideas and results.
https://t.co/zCPk4QDjxX
Find the thickness distribution of fibers in a microscopy image using #ImageProcessing built into #Wolfram Language: https://t.co/ATbBG94Njb #ComputationalMicroscopy
Use image processing techniques built into #Wolfram Language such as focus stacking to create 3D models from images with varying focal lengths: https://t.co/fVuFPEXizK #ImageProcessing #ComputationalMicroscopy
Avoid skewed analysis by equalizing the brightness distribution of a microscopy image. Remove uneven illumination using #ImageProcessing in #Wolfram Language. https://t.co/ch9ZODs2dZ #ComputationalMicroscopy
Ever wondered what the learning part of the brain looks like? Segment a 3D dataset of an electron microscopy image using #ImageProcessing built into the #Wolfram Language: https://t.co/Zz5bP1qCzD #ComputationalMicroscopy
Use classical image processing or modern neural nets to colorize electron microscopy images in #Wolfram Language. https://t.co/G0IZZ1HuN4 #ImageProcessing #ComputationalMicroscopy
Reliable deep-learning-based phase imaging with uncertainty quantification, by researchers at @BU_ece
https://t.co/2nCELbTlaZ
#phaseimaging #computationalmicroscopy #computationalimaging #computationalmedicine #deeplearning #bioinformatics #bioimaging #Bayesianstatistics
Saw exciting developments in #ComputationalMicroscopy @FOMconferences. Nice review of theoretical underpinnings by George Barbastathis (https://t.co/pecWAuwLZ0) and neat computational approaches for dealing with scattering by Ori Katz (https://t.co/24J04LMBi1)
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