TK Analytics provides microscopy image analysis services since 2018.

TK Analytics

TK Analytics | 230 followers on LinkedIn. Microscopy image analysis and management specialists. We turn images into knowledge. | Data science solutions for drug discovery. We build data analysis and AI solutions  that help you better evaluate candidate molecules. Our solutions are based on molecule structure, cell painting data and transcriptomics.

Data science & AI solutions for cell painting, high-content screening (HCS), Drug discovery

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🎃👻 Spooky Good Deal for Halloween: HCS Pipeline Early Adopters! 👻🎃 No tricks, just treats! 🎃 This Halloween, we’re offering a special early adopters deal for our HCS Pipeline, and it's a spook-tacular opportunity you won’t want to miss! 🕸️ Here’s what’s in your goody bag: 1️⃣ Personalized Pipeline Setup: We’ll work closely with you to build the perfect data analysis pipeline—no witchcraft required! 🎃 2️⃣ Custom Module Development: Got a tricky data problem? We’ll brew up custom modules just for you. 🧙♀️ 3️⃣ Premium Support: Enjoy hands-on, top-tier support that will chase away all your data nightmares! 🕷️ 🎃 Don't let this deal haunt you later—it’s available for a limited time! 🎃 Speed up your HCS data analysis, reduce costs, and get results that are scary good with HCS Pipeline! https://lnkd.in/ddzrP_ij 💬 Send me a LinkedIn message or leave a comment below to take advantage of this fang-tastic deal before it vanishes! 🧛♂️ #HCS #EarlyAdopters #DataAnalysis #Biotech #ResearchTools #HalloweenSpecial

🚀 HCS Pipeline Case Study: How We Cut Data Analysis Time from 48 Hours to Just 2 Hours! 🚀 We recently published a case study on the HCS Pipeline that showcases its power to transform how labs handle and analyze high-content screening (HCS) data. 🧬 In this case study, we dive deep into how a team of biologists used HCS Pipeline to: ✅ Cut analysis time from 48 hours to just 2 hours, giving them rapid insights to make data-driven decisions. ✅ Streamline data analysis workflows by automating critical steps, allowing non-programmers to perform complex analyses independently. ✅ Maintain flexibility with fully customizable and modular options, so the platform adapts to their unique research needs. Our case study highlights how HCS Pipeline is more than just software—it's a solution that removes the dependency on scarce data science resources and allows researchers to take full control of their analysis process. Want to see how we made it happen? Read the full case study here: 👉 https://lnkd.in/dh9KH8Sa 💬 Have any questions or want to know how HCS Pipeline can fit into your research? Feel free to reach out in the comments or send me a message! #HCSPipeline #CaseStudy #DataAnalysis #HCS #Biotech #ResearchTools #LabAutomation

🌟 Why Choose HCS Pipeline? 🌟 When it comes to HCS and Cell Painting data analysis, we’ve built HCS Pipeline to solve key challenges faced by researchers and labs. Here are the top value propositions that make our platform a game-changer: 1️⃣ Speed: Get results in hours instead of days. Our platform drastically reduces the time to analyze large HCS datasets, cutting the process from 48 hours down to just 2 hours in our case study. 2️⃣ Affordability: At just 10% of the cost of hiring a full-time data scientist, you can leverage the power of advanced analysis without the high price tag. Skilled data scientists in this niche are hard to find, and we help bridge that gap. 3️⃣ Customizable & Modular: Every lab is different, and so are your needs. HCS Pipeline is fully customizable with modular functionality—whether it’s adding custom-built analysis modules or optimizing your workflow, you’ll have complete control. Our platform empowers biologists to take control of their big data without needing to rely on scarce data science resources. Simplify complex analysis and make informed decisions faster! https://lnkd.in/dG4FdjTg 💬 Interested in learning more? Send me a message or comment below, and I’ll be happy to share more details on how HCS Pipeline can transform your data analysis workflow! #DataAnalysis #HCSPipeline #CellPainting #Biotech #ModularAnalysis #CustomSolutions #BigData

🚀 Join Our Early Adopters and Unlock Exclusive Benefits! 🚀 We’re offering a special early adopters deal for the HCS Pipeline—a fully customizable platform designed to make HCS and Cell Painting data analysis faster, easier, and more affordable. As an early adopter, you’ll receive: 🔧 Custom Module Development: Need something specific? We’ll build custom modules tailored to your needs. 📊 Personalized Pipeline Setup: Get hands-on help in building and optimizing analysis pipelines. 💬 Premium Support: Enjoy direct, priority access to ensure you get the most out of the platform. Don’t miss out on the chance to streamline your HCS data analysis. Send me a LinkedIn message or write a comment below to be part of this exclusive offer! 💡 https://lnkd.in/d_smiuFc #HCSPipeline #EarlyAdopters #DataAnalysis #CellPainting #Biotech #ResearchTools

📊 Overcoming the Biggest Hurdle in HCS and Cell Painting Data Interpretation 📊 When working with High-Content Screening (HCS) and Cell Painting data, one of the most challenging aspects isn't just the analysis itself—it's visualizing and interpreting the results. In our experience, the biggest hurdle that researchers face is understanding their data through effective plotting. This is where the HCS Pipeline comes in. We've designed it with powerful interactive plots that allow you to explore your data dynamically. You can easily change how the data is plotted, zoom into different insights, and switch perspectives—all without writing a single line of code. 📈 Our users tell us this is the feature that truly helps them make faster and better decisions. With the ability to interact directly with their plots, they can uncover insights that static plots often miss, gaining clarity in their data interpretation. If you’ve been struggling to visualize and interpret your HCS data, give HCS Pipeline a try and see how interactive plots can elevate your analysis. https://lnkd.in/d_smiuFc How do you handle data visualization in your HCS workflows? Let me know in the comments! 👇 #HCS #DataVisualization #CellPainting #DataAnalysis #ResearchTools #LifeSciences

🔬 Experience the Power of HCS Pipeline with a Personalized Demo 🔬 We know that seeing is believing—and that's why we offer personalized demos of the HCS Pipeline. Our goal is to help you fully grasp the potential of the platform by showing it in action with your own data. We want to make it easy for you to see how HCS Pipeline can streamline your data analysis workflows and get you to insights faster. How Does the Demo Work? 1️⃣ You Send Us Your Dataset Start by sending us a sample of your own data that you’d like to analyze. Along with the dataset, let us know the specific outcomes or insights you are aiming to achieve. 2️⃣ We Build Your Custom Pipeline Once we have your dataset and requirements, we set to work, preparing a pipeline tailored to your needs. Whether it’s quality control, feature reduction, normalization, or advanced visualizations, we configure everything according to the goals you’ve outlined. 3️⃣ Time for Live Demo A few days later, we’ll schedule a call to walk you through the pipeline we’ve built. By sharing the screen, we’ll guide you step by step as you explore the analysis and even help you adjust the pipeline to fit your exact needs. Our goal with every demo is to give you a clear picture of how HCS Pipeline can transform your data analysis. We want you to walk away confident that the platform is easy to use, customizable, and capable of delivering the insights you need. https://lnkd.in/d_smiuFc 💬 Want to see your own data in action with HCS Pipeline? Drop us a message or leave a comment, and let's schedule a - you guessed it - demo! #HCS #DataAnalysis #Demo #HighContentScreening #Bioinformatics #DataScience #Software #ResearchTools

🚀 Join the HCS Pipeline Early Adopters Program! 🚀 We’re excited to announce a special Early Adopters Deal for those interested in getting hands-on with the HCS Pipeline—the modular platform designed to streamline high-content screening (HCS) data analysis. If you're tired of waiting days for data scientists or struggling with rigid, time-consuming workflows, HCS Pipeline is here to help you take control of your analysis. 🎯 What You Get as an Early Adopter: 1️⃣ Personalized Pipeline Setup: I’ll work with you one-on-one to design and build custom analysis pipelines that fit your specific research needs. 2️⃣ Custom Module Development: Have a unique data challenge? I’ll develop custom modules tailored to your HCS data analysis problems, giving you complete flexibility. 3️⃣ Premium Support: As an early adopter, you’ll receive dedicated, hands-on support to make sure you get the most out of the platform. 🧬 Why Choose HCS Pipeline? - Cutting-edge data analysis: Reduce the time to results from 48 hours to just 2 hours. - 10x more cost-effective than hiring a data scientist. - Fully customizable & modular: Build, modify, and expand your analysis workflows with ease. Ready to be part of the next big step in HCS data analysis? Get in touch during the early adoption phase and unlock exclusive benefits. https://lnkd.in/d_smiuFc 💬 Interested in learning more? Drop me a message, or comment below, and let’s chat about how we can streamline your HCS analysis. - - - #HCS #DataAnalysis #EarlyAdopter #Bioinformatics #HighContentScreening #DataScience #Software

🔬 Cell Painting Data Analysis Pipeline in HCS Pipeline 🔬 Today, we're demonstrating how you can analyze your Cell Painting data using the same pipeline we employ internally in the HCS Pipeline platform. With this fully customizable, modular solution, you can simplify and accelerate complex data analysis workflows without needing deep coding expertise. Let’s take a look at the components of the pipeline: 🚀 Step-by-Step Pipeline 🚀 1️⃣ Data Quality Control (QC): Automatically clean your dataset by removing outliers, handling missing values, and applying thresholds for NaNs and zeros. This ensures you're working with high-quality data from the outset. 2️⃣ Feature Reduction: Simplify your dataset by removing highly correlated and non-informative features, keeping only the most important and biologically relevant data to streamline the analysis. 3️⃣ Multiple Levels of Normalization: Apply different normalization methods, including z-score, MAD robustization, and spherizing the data, to remove batch effects and prepare the dataset for accurate downstream analysis. 4️⃣ Aggregation: Aggregate your data across different metadata levels, such as plates or experimental conditions, for seamless comparison and analysis. 5️⃣ UMAP Dimensionality Reduction: Reduce thousands of features to 2D space with UMAP to uncover hidden patterns and similarities between samples. 6️⃣ Interactive Plots: Generate Interactive Distance Matrices and Scatter Plots of UMAP Transformations to visualize relationships and gain insights into your data in just a few clicks. 🔍 Recreate This Pipeline with HCS Pipeline With HCS Pipeline, you can build and customize this analysis pipeline to suit your own research needs. The modular platform makes it easy for anyone to set up powerful workflows without requiring a data scientist. 💬 How are you currently analyzing your Cell Painting data? Let us know in the comments! --- #HCS #CellPainting #DataAnalysis #ResearchTech #Bioinformatics #HCSData #PipelineAutomation

🔬 Introducing Early Adopter benefits for our HCS Pipeline: our solution for High-Content Screening data analysis. 🔬 The HCS Pipeline, which I announced this Tuesday, is a fully customizable, modular platform designed to empower biologists to analyze large-scale High-Content Screening (HCS) and Cell Painting data with ease. No need for coding or data science expertise — just fast, efficient insights tailored to your needs. 🚀 As a product launch perk we are offering you the Early Adopter Bundle: - Pipeline setup for your use cases by our experts - Development of a custom analysis module for your use case - Full, personalized support by TK Analytics team Take advantage of being one of the first to try our new platform, with the full support of the TK Analytics team: https://lnkd.in/d_smiuFc You can also contact me directly for a personalized demo of HCS Pipeline. #HCS #Biotech #DataScience #EarlyAdopter #Innovation

🚀 Launching HCS Pipeline 🚀 I’ve been doing data analysis for HCS for a couple of years now and finally we’ve made it to our very own product. Today we’re launching HCS Pipeline that empowers you with ultimate freedom when analyzing HCS data. It’s a fully customizable and modular solution that allows any biologist to do advanced data analysis with big data. 🎉 Check the link in comment! 💡 Why We Built This: We saw a significant gap in the accessibility of HCS data analysis. Labs were constantly reliant on scarce data science resources, leading to delays in getting critical results. The process was too slow, expensive, and not always tailored to the specific needs of biological research. So, we created a tool that gives researchers direct control over their HCS data analysis, with modular flexibility for custom solutions. 🔑 Key Value Propositions: 1️⃣ Speed Up Results: Reduce the time to insights from days to just hours! In our case study, researchers cut analysis time from 48 hours to just 2 hours. 2️⃣ Cost-Effective: At just 10% of the cost of hiring a data scientist, our platform delivers expert-level results without the complexity or overhead. Good data scientists with expertise in HCS are hard to find—our software makes it easier to bridge that gap. 3️⃣ Fully Customizable & Modular: We understand that each lab has unique needs. That's why we've made it easy to add custom modules. Whether you need specialized features or entirely new functionality, we've got you covered. ⚙️ Key Features: - Analysis pipelines for cell painting and HCS: The software contains all modules to get you started. If you need something else we’ll develop it. - Interactive Data Visualizations: Create high-quality visualizations like scatter plots, heatmaps, UMAP projections, and more—without needing to code. All plots are interactive and customizable. - Advanced Data Filtering & Normalization: Apply rigorous data quality checks, outlier removal, and customizable normalization methods in just a few clicks. - Plug-and-Play Modularity: Easily integrate custom-built modules tailored specifically to your research workflow. - Pipeline Customization: Build and save custom analysis pipelines that you can share with your team or reuse for future projects. Please share this opportunity to supercharge your HCS data analysis with your network. Thanks for your help. #HCS #DataAnalysis #Biotech #SoftwareInnovation #ResearchTools

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