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Biodock AI Profile
Biodock AI

@BiodockAI

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Following
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Statuses
37

Cloud AI software platform for biotech and pharma companies to accelerate data analysis

Austin, TX
Joined April 2020
Don't wanna be here? Send us removal request.
@BiodockAI
Biodock AI
2 years
Two-click object labeling powered by AI - unveiling the fastest way to label bio images.
@MichaelLee04
Michael Lee
2 years
Labeling bio images for AI just got 10x faster🏎. Today, we’re releasing Biodock Autolabel, and it’s kind of magical. We trained it on thousands of bio images so you can use it without training. (1/6). @BiodockAI #microscopy #pathology #biology
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@BiodockAI
Biodock AI
3 years
Today, we will talk about improving the resolution of optical microscopy to the nanometer range. Please share among your colleagues and enjoy the read!.#microscopyanalysis #machinelearning #biodock #cloudcomputing #AI.
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@BiodockAI
Biodock AI
3 years
How do neuroscientists map every connection in the brain? In today's article @lencriv discusses how imaging and AI are being synergized to create that map: known as the connectome. #connectomics #AI #biodock #microscopy.
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@BiodockAI
Biodock AI
3 years
Check out our latest blog post. This week we are talking about a well-known method in biology - FISH (fluorescent in situ hybridization). #AI #spatialbiology #cloudcomputing #biodock .
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@BiodockAI
Biodock AI
3 years
Check out our latest blog post. We are talking about high content screening and imaging, which has been very important for drug discovery in the past couple of decades. #drugdiscovery #microscopyanalysis #machinelearning #biodock #cloudcomputing.
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@BiodockAI
Biodock AI
2 years
Now that Biodock's end-to-end AI platform is out of beta, powerful AI for image analysis is easily accessible. In today's article, @lencriv reports his experience using Biodock to compare healthy and diseased muscle tissue. #AI #musclefiber #Microscopy.
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@BiodockAI
Biodock AI
2 years
What if we could literally see the effects of drugs at the cellular scale? Today, @lencriv shares how image-based profiling is rising as a high-throughput method for drug discovery. #drugdiscovery #imageanalysis #segmentation.
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@BiodockAI
Biodock AI
2 years
Build AI models, using AI models, with AI Prelabel!.
@MichaelLee04
Michael Lee
2 years
Introducing AI Prelabel for all bioimages 🔬 - build AI models using AI models. Read about how it works below! (1/10). @BiodockAI #microscopy #pathology #Biology
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@BiodockAI
Biodock AI
3 years
Check out our latest article. Our scientific writer Medeea (Ph.D. candidate @Stanford) is talking about a novel AI-based cell segmentation method for phase-contrast images. #microscopyanalysis #machinelearning #biodock #cloudcomputing #AI .
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@BiodockAI
Biodock AI
3 years
Check out this article by Chris Shumate (CEO of @Etaluma) about his experience with creating an AI model with @BiodockAI.
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@BiodockAI
Biodock AI
3 years
Need to image deeper? Ditch the one-photon microscope and learn the advantages of two-photon microscopy. #microscopy #AIimageanalysis #immunofluorescence #biodock.
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@BiodockAI
Biodock AI
3 years
We are very excited about this. Now you can easily create your own state-of-the-art AI models for your microscopy images! Try it out for free!.
@MichaelLee04
Michael Lee
3 years
Today, we’re announcing that Biodock is coming out of beta. Biodock is the easiest way for biologists to create a remarkably accurate, AI pipeline for any bio images 🔬. It takes an afternoon, doesn’t require any code, and is incredibly accurate. A thread (1/8):.
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@BiodockAI
Biodock AI
3 years
The diffraction limit of optical systems has kept the nanoscopic world outside our grasp for decades. Today, @lencriv discusses how Expansion Microscopy is expanding what is knowable at the nanoscale. literally #ExM #Microscopy .
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@BiodockAI
Biodock AI
4 years
At Biodock, we work with high-dimensional data in the form of microscopic images. In this blog post, our scientific writer Medeea, a Ph.D. candidate from Stanford, wrote about analyzing high dimensional data from Luminex assay using R.
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@BiodockAI
Biodock AI
2 years
How can we look beyond the surface? In today's article, @lencriv focuses on Gradient Index (GRIN) optics and how GRIN lenses are serving as a window into the deepest areas of the brain and body. #GRINImaging #GRINLens #inscopix #miniscope
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@BiodockAI
Biodock AI
3 years
Microscopy has been around for over 500 years—but the past several decades have ushered in an exponential increase in the complexity and size of imaging datasets. Our latest blog post is out! . #AI #microscopy #biodock #microscopyanalysis.
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@BiodockAI
Biodock AI
3 years
Today, we will talk about the new findings in pancreatic cancer spatial heterogeneity and how the imaging approach complements other biological assays such as proteomics and RNAseq. #microscopyanalysis #machinelearning #biodock #cloudcomputing #AI.
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@BiodockAI
Biodock AI
3 years
At Biodock, we are interested in spatial information of tissues and organs. In our latest blogpost, our scientific writer, Medeea (Stanford Ph.D. candidate), talks about the latest paper on the immune response to leprosy using spatial sequencing. #AI #ML .
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@BiodockAI
Biodock AI
3 years
With Biodock, you can build AI image analysis models without writing a line of code. Here we are discussing two important concepts in the image analysis: instance vs semantic segmentation. #ai #biodock #imageanalysis #biologicalsciences.
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@BiodockAI
Biodock AI
3 years
Like the carefully timed notes of a piano piece, faculties of the brain are achieved by the patterned firing of neural ensembles. Here @lencriv discusses how holographic optogenetics aims to recreate that pattern #optogenetics #holography .
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@BiodockAI
Biodock AI
3 years
In today's blog post we are discussing a recent paper by Wu et al. They present a new microscopy platform that builds on confocal using AI approaches and technical innovations. #ai #ml #microscopy #cloudcomputing #biodock.
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@BiodockAI
Biodock AI
3 years
In today's blog post, we are discussing different spatial sequencing methods currently available and their challenges. #AI #biodock #spatialbiology.
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@BiodockAI
Biodock AI
3 years
Here is our latest blog post. In this article, we’ll focus on the process, practice, and problems associated with setting up, running, and analyzing a fluorescence microscopy experiment. #microscopyanalysis #machinelearning #biodock #cloudcomputing #AI.
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@BiodockAI
Biodock AI
3 years
Check out our latest blog post. Are you having issues imaging deep within your sample? Why not turn your specimen clear? The clearing is a great way to study 3D structures in intact tissue for highly scalable applications.#microscopy #tissueclearing #IHC.
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@BiodockAI
Biodock AI
3 years
Check out our latest blog post. Our scientific writer, Hunter Martinez (@Stanford Ph.D. candidate) wrote about different types of microscopes that are used in biomedical research. #microscopyanalysis #machinelearning #biodock #cloudcomputing #microscope.
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@BiodockAI
Biodock AI
3 years
Check out our latest blog post. In this article, we’ll cover the basics of deconvolution, methods for deconvolution, and where you can find tools to apply deconvolution to your own images.#AI #ML #fluorescentmicroscopy.
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@BiodockAI
Biodock AI
2 years
@mcsinton @mcsinton Thank you! We are glad the platform is useful to the scientific community!.
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@BiodockAI
Biodock AI
2 years
We all know the microbiome is very important for our health. Today, we will be talking about microbial community visualization using RNA-FISH. #health #imageanalysis #microbiome.
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@BiodockAI
Biodock AI
2 years
@Mucus_Man @MichaelLee04 Thank you for your inquiry. We don't have a centralized place to access community-developed pipelines - however, academic users can share their AI with each other and keep improving.
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@BiodockAI
Biodock AI
4 years
At Biodock AI, we believe in the power of AI, and we want every biological scientist to apply this technology for their data analysis. We are starting with AI cell segmentation for microscopy images. More is coming . .
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@BiodockAI
Biodock AI
2 years
@MAG2ART Look at this beauty!.
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@BiodockAI
Biodock AI
4 years
Here is an example of how machine learning was able to reliably predict fluorescent labels from transmitted-light images.
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