#ZeroCostDL4Mic Examples
Back to the #ZeroCostDL4Mic wiki
Delighted to finally share what we have been working on for the last few months: #ZeroCostDL4Mic, a platform that simplifies access and use of #DeepLearning in microscopy using @GoogleColab. Available on @biorxivpreprint https://t.co/JP91GY05oC and @github https://t.co/7OOfmtWjvU pic.twitter.com/tlz6w98wSK
— Guillaume Jacquemet (@guijacquemet) March 20, 2020
Dude, where's my noise? Thanks #ZeroCostDL4Mic @guijacquemet @HenriquesLab @LaineBioImaging ! Need to play with the settings some more but quite an improvement! pic.twitter.com/kZ2NURXk0N
— Sara Parker (@ratherbecloning) March 22, 2020
From "before" to "after" in less than 20 minutes using #Noise2VOID (by @jug_lab) with #ZeroCostDL4Mic (by @HenriquesLab and @guijacquemet).
— Sara Hernández PĂ©rez (@sara_mattilalab) March 23, 2020
Give it a try yourself! 👇 https://t.co/1LLJpE2fKB pic.twitter.com/Z7JsHplaFf
Got a pre-trained StarDist model working in @FijiSc! Thanks to the great imaging community for help with this and especially @uschmidt83 and everyone at #ZeroCostDL4Mic for making ML/DL approaches so accessible! Now, lot's of data to go through... pic.twitter.com/eMM1AYWPX7
— Aidan Fenix (@AidanFenix) July 10, 2020
I have now updated our @github page to include a short step by step tutorial on how to automatically track cell nuclei movies by combining our #Stardist #ZeroCostDL4Mic notebook with #Trackmate https://t.co/tAtq3PHTQ1
— Guillaume Jacquemet (@guijacquemet) July 1, 2020
If anything is unclear do not hesitate to reach out! pic.twitter.com/jr0ODzgHr6
I have been playing with deep learning and prediction of fluorescence signal from brightfield images.
— Guillaume Jacquemet (@guijacquemet) May 25, 2020
Which of these images was generated by a computer A or B ? #DeepLearning #ZeroCostDL4Mic
Thanks to @miCHRIScopy for the nice raw data! (colour indicate depth). pic.twitter.com/fNZdlJpdf3
I had fun denoising high-speed 2p images (at 500 fps) via deep learning (#CARE) by @martweig et. al. and made extremely easy to use through the cloud-based platform #ZeroCostDL4Mic by @ChamierLucas @JohannaJukkala @LaineBioImaging et. al. from @guijacquemet @HenriquesLab pic.twitter.com/Si1MKNs7ul
— David Chen (@david_chen_lee) May 17, 2020
We are also very excited to release our first #DeepSTORM notebook (in Beta for now) in collaboration with @ShechtmanLab ! High density emitter SMLM reconstruction using #DeepLearning! pic.twitter.com/XqrYiFHYSO
— Romain F. Laine (@LaineBioImaging) May 12, 2020
Learn how to apply #ZeroCostDL4Mic to the studies of cytonemes @kornberg_t Lab. It seems I am doing alright with Noise2VOID 3D
— Guilherme Barbosa (@GuilSciLab) March 31, 2020
ttps://www.biorxiv.org/content/10.1101/2020.03.20.000133v1 pic.twitter.com/B2Y5Eoj60l
@miCHRIScopy and myself have been toying with 3D #Noise2Void on #ZeroCostDL4Mic. The results are really impressive IMHO! If you want to try, checkout the preprint (https://t.co/edHgU9sjeR) and our @github repo (https://t.co/OPiweupSML)!
— Romain F. Laine (@LaineBioImaging) March 25, 2020
1/7 pic.twitter.com/WuMhrEKJrK