Webinars

We have brought out a new version of the Eyecon2 image analysis software, EyePASS V3.1. It includes several new exciting features for particle size and shape analysis. Including:

New methods of reporting particle size, such as Feret diameter, Martin diameter.

New methods of reporting particle shape, such as eccentricity, aspect ratio, circularity, sphericity, elongation, convexity, and compactness.

Improved report options including per particle data.

This webinar will provide an overview of the new features of EyePASS 3.1 showing how new methods of particle analysis can benefit your operation.

An in-depth discussion on the capabilities of machine learning in particle analysis, hosting by HORIBA U.S and featuring Innophamras Darren McHugh and Girish Mallya

Classical image analysis is a process where particles of interest are segregated from the rest by means of hand-designed methods such as thresholding (deciding whether to keep or discard a pixel based on its numerical value) or the watershed algorithm (viewing the image as a topographic map and successively grouping pixels based on height). These methods require some amount of manual correction to mitigate noise or false detection depending on the complexity of the image. How can we improve data collection? In this webinar, you will hear leading imaging experts, Darren McHugh and Girish Mallya, from Innopharma Technology illustrate what Convolutional Neural Network (CNN) is and how it offers users the ability to create a software model that emulates human vision, thereby offering robust, automated, and accurate particle segmentation. You will gain confidence in the CNN-powered image processing for features such as particle size and shape.

All Manufacturing lines have the same goal, to establish robust, repeatable and reliable methods to manufacture compliant product, as efficiently as possible. Process development is the means of achieving the 3 R’s of robust, repeatable and reliable. Naturally process development drastically affects the bottom line but it also affects how quickly a market demand is met. The inspiring accelerated process development demonstrated during the pandemic is a good example of this. Hence, accelerated process development is the desire of any company looking to meet demand and safeguard return on investment.

Themes including:
Industry 4.0, Disruptive Technology, Digital Manufacturing, Smart Factory, Lean & Continuous Improvement, Automation, Research & Development, Precision Engineering, Supply Chain & Logistics, Sustainability, Food & Beverage Engineering, Pharmaceutical and Life Sciences, Reliability, Asset Management. Procurement, Government Policy, Industrial Strategy, Vendor Agnostic, Amalgamated, Unified Data.

Pharma 4.0 your not just running the machines/processes, It enables you to better tune the automation.

Enhancing the Capabilities of Fluid Bed Granulation through Process Automation and Digitalisation

Level 3Level 3 Volume 16 Issue 2 Part 2:Steps Towards Digital Transformation in the Pharmaceutical Manufacturing Landscape Linking Data, Analytics, Knowledge and Risk

Handling powders and bulk solids is an essential element of many manufacturing processes. During these processes, key considerations are controlling and predicting the particle size and shape data, as collected in situ.

In this webinar, the Product Manager of Innopharma Technology, Darren McHugh, will provide a LIVE demonstration of the Eyecon2 real-time imaging particle size analyzer. We'll then review in-depth how the results compare to sieve and other correlation methods.

To measure critical quality attributes (CQA) such as particle size in real time reveals their functional relationships with the critical process parameters (CPP). The Eyecon2™ offers a true non-product contact, a real-time imaging system that can be used with dry and wet bulk solid processing equipment affording a digital maturity competitive edge.

We will dive into how the imaging technology works, the basic principles of analysis for particle size detection, the methods of integration onto process equipment such as Fluid Beds, Twin Screw Granulators and Roller Compactor and discuss key applications where the value of real-time in-line particle size results archetype how the Eyecon2 enables transparency, agility and productivity that aligns with the Factory of the Future and Pharma 4.0.

Darren McHugh | Product Manager at Innopharma Technology

Chris O'Callaghan | Head of Engineering at Innopharma Technology

Best Practices for Multiparticulate Formulations: The Importance of Computational Design and Process Analytical Technology

Multiparticulate (MP) dosage forms provide opportunities to modulate drug release characteristics and target specific release sites within the GI tract. Fluid bed bottom-spray (Wurster) coating is routinely used to apply successive coating layers in the development and manufacture of these multiparticulate formulations.

During development a key consideration is the amount of coating applied to achieve a target release profile. Typically, the quantity of coating is determined by the application of increasing percent weight gain until the desired release is obtained. While this approach has been successful, it’s time-consuming and lacks a strategy to achieve process control and long-term commercial success.

Experts in multiparticulate applications from Colorcon and Innopharma Technology will discuss how computational design and PAT can help build more robust formulations, predict multiparticulate performance, and accelerate development by reducing traditional iterative trial and testing practices in development.

Discover how the best practices and technology presented here will accelerate formulation development and improve quality outcomes for your multiparticulate formulations.

Learn how to reliably determine particle size and shape distributions. Image analysis is intuitively appealing and, with new software and hardware, increasingly accessible. On line image analysis extends the technique by analyzing particles as they are in the process, giving immediate feedback. Effectively limited by the wavelength of light, image analysis can be used for particles with sizes ranging from about a micron to tens of millimeters.

View this webinar to learn about this powerful technology for high resolution particle size and shape measurement. This webinar will cover the basics of the technique and some considerations for obtaining reliable data.

The capability to measure critical quality attributes (CQA) such as particle size in real time reveals their functional relationships with the critical process parameters (CPP). The Eyecon2™ offers a true non-product contact, a real-time imaging system that can be used with dry and wet bulk solid processing equipment affording a digital maturity competitive edge. We will dive into how the imaging technology works, the basic principles of analysis for particle size detection, the methods of integration onto process equipment such as Fluid Beds, Twin Screw Granulators and Roller Compactor and discuss key applications where the value of real-time in-line particle size results archetype how the Eyecon2 enables transparency, agility and productivity that aligns with the Factory of the Future and Pharma 4.0.