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EVIDENT Workflow Solutions to Make Your Research More Efficient

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Woman sitting in front of an Olympus microscope looking at a sample on a computer monitor

Applying more than 100 years of optical development history and knowledge gained from communicating with researchers, we strive to support researchers’ imaging workflows with cutting-edge solutions. We continuously seek ways to leverage our expertise to solve issues with your experiments. To demonstrate some ways we do this, I’ll present a case study, an application, and four workflow solutions that improve the efficiency of experiments—from the cell culture stage to imaging and image analysis. 

An infographic: EVIDENT Workflow Solutions Make Your Research More Efficient

Case Study: Standardizing Cell-Preparation Stages for More Efficient Subsequent Experiments

When conducting experiments involving differentiation induction from stem cells, you can use our solutions to optimize efficiency during each of the following four steps:

  1. Quantitatively evaluating cell culture conditions using the CM20 incubation monitoring system increases the likelihood that cells will form the targeted tissues, making subsequent experiments more efficient. 
    Read this whitepaper on the key to achieving a successful cell culture workflow.
  2. In pre-experiments with differentiated cells and tissues, you can acquire more high-quality data in less time and with less effort using the APEXVIEW™ APX100 all-in-one microscope.
    Read this blog post to learn how the APX100 microscope simplifies pre-experiment steps.
  3. At the data acquisition step, confocal imaging is performed to evaluate the function of the sample. Using the FLUOVIEW™ FV3000 confocal laser scanning microscope, it’s possible to acquire high-definition images of the region of interest while capturing the entire sample. 
  4. Using the TruAI™ deep-learning module of cellSens™ imaging software enables high-precision image analysis.

Cell culture experiment and imaging workflow

With this set of four workflow improvements, you can expect to achieve more efficient and effective results.

Comparing EVIDENT Workflow Solutions with Conventional Methods

As you can see in the table below, many of the cell culture workflow tasks that traditionally had to be performed manually can be automated utilizing AI and modern tools, saving time. Even if an individual task is not especially time consuming, it is often repeated numerous times for different cell types, which means that the time savings over the long term can be significant.

And the benefits aren't just about efficiency. The quality of experiments can also be improved through factors such as reducing the burden on cells and preventing the risk for human error due to manual manipulations.

Conventional methods Evident workflow solutions
Cell culture Cell check method Necessary to take the culture out of the incubator each time Remote check available, avoid removing the culture from the incubator
Cell count and density measurement Conducted with cell counting equipment, etc. Automatic measurement while monitoring
Culture conditions Varies from person to person Quantitative
Pre-experiment Finding the observation position

Visual and microscope operation
(10 seconds up to minutes)

(About 10 seconds)

Data acquisition Multiple-specimen imaging One sample at a time Automatic imaging of multiple samples
Image analysis Detection of specific specimens Manually locate a specific specimen Autodetection using AI

Application: Predicting Multi-Class Nuclei Phenotypes for Drug Testing Using Deep Learning

In drug discovery research, trained neural networks (NNs) can be applied to accelerate phenotype prediction. Using the FV3000 confocal laser scanning microscope and the TruAI deep-learning technology of cellSens imaging software, researchers can estimate nuclear positions and segment them without using nuclear staining, and then construct a method to classify cells in one step based on changes in AR phenotype according to the drug. This approach reduces the time and cost of experimentation and contributes to the efficiency of chemical testing.

Training an AI neural network for automated phenotype prediction

Learn more about this application

Products Used for These Workflow Solutions

Meet the products that contribute to the workflow solutions introduced in this blog post.

CM20 Incubation Monitoring System

The CM20 system monitors the cell culture’s status in the incubator and automatically measures and plots graphs of the number of cells and colonies, the density, and cell confluency. 
Automating these traditionally manual tasks improves the efficiency of the cell culture process, and establishing a culture process based on quantitative data, improves the culture quality.

Learn more about the CM20 system

Cell cultures on CM20 incubation monitoring systems

APEXVIEW APX100 All-In-One Microscope 

The APX100 system's Smart Sample Navigator automatically acquires a macro image and the built-in AI detects your sample on the slide. The system’s simple and intuitive software and its macro image acquisition feature provides a stress-free experiment process, so obtaining high-quality images is easy for all users. 

Learn more about the APX100 system

Easy-to-Use Research Microscope

FLUOVIEW FV3000 Confocal Laser Scanning Microscope

Pinpointing the area of interest in your sample can be time-consuming. The FV3000 system makes it easy to acquire stitched images from low magnification (1.25x or 2x) to high magnification. By connecting macro low-magnification images with micro high-resolution images, the FV3000 system not only provides continuous macro-to-micro observation, but also automates it for the user.

Learn more about the FV3000 system

Automated Macro-to-Micro Imaging

cellSens Imaging Software

Our cellSens imaging software facilitates various image analysis tasks, such as luminance analysis, object measurement and classification, and tracking analysis on image data acquired with a microscope. Using the TruAI deep-learning module for object detection enables automatic analysis of images that were manually analyzed in the past, so results are obtained more efficiently and with improved accuracy.

Learn more about cellSens imaging software

TruAI detects the glomeruli features (right)

Prediction of glomeruli positions on a mouse kidney section using TruAI (blue).
(green) fluorescence image of nuclei, (blue) nuclei detected from brightfield image by TruAI technology

(green) fluorescence image of nuclei, (blue) nuclei detected from brightfield image by TruAI technology

Green: You can see that the detection accuracy is low due to the unevenness of the GFP label.
Blue: Detecting the nuclei with high accuracy despite scratches and dust on the vessel.

Related Content

Streamline Your Research Workflow with an All-in-One Microscope 

Drug Viability Testing of 3D Cancer Spheroids Using Automated Macro-to-Micro Imaging

Label-Free Quantification You Can Count On: A Deep Learning Experiment 

Assistant Manager, Life Science Research Solutions, Global Marketing

Atsuya Toda is an assistant manager for Global Life Science Marketing at Evident. He has more than fifteen years of experience in life science microscopy sales, sales planning, and marketing in Japan. In 2021, he moved to the Global Life Science Marketing team where he is the marketing representative for the APEXVIEW APX100 all-in-one microscope. He holds a Bachelor of Economics degree from Doshisha University, Japan.

Dec 15 2022
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