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Traditionally, manual cell counting involves the use of a microscope to count all individual cells in a sample. However, using this user-dependent technology has inherent problems, which can lead to inconsistent results, low reproducibility, and time-consuming processes. In this SelectScience® article, Alex Toomey, Product Line Manager of Corning Life Sciences, introduced the automatic Corning® cell counter and described how it can help researchers overcome common manual counting challenges to achieve faster, more accurate and reliable Repeated results.

AT: I am the product line manager for our imaging product portfolio, molecular biology benchtop equipment, and general laboratory plastics. The product line management role is the business operation role. We cooperate with all functional departments of the company to provide products and solutions to end users. I have been working for Corning Life Sciences for nearly three years, where I started to take a role in our scientific support organization. 

AT: Manual counting is a traditional counting method, including observation under a microscope and counting all the cells in the sample. However, we are seeing more use of automated cell counting. If you look at the gridded blood cell counter below (Figure 1), it demonstrates the manual counting method. This is done by placing 10 microliters of cell solution into the grid chamber. The scientist will then start counting all the cells in the grid quadrants and then average them together to determine the cell concentration.

In addition, many customers want to obtain both live and dead cell concentrations. To this end, scientists will conduct viability determinations and monitor cell health and proliferation rates through cell staining techniques. Viability is just the percentage of the surviving population and the percentage of the dead population. The reason for monitoring vitality data is to understand the health of the suspension before using these cells in downstream applications. Trypan blue is the most common stain in cell counting. It has the characteristic of attaching to dead cells (Figure 1, blue cells), which increases the complexity of manual calculations.

When you think about repeatability, it is a gray area in the manual counting space. For example, you and I will likely get different results when counting manually, even after proper training. Therefore, the results and estimates will vary from user to user. The number of steps involved in manual counting is much larger than that of automatic methods, increasing the margin of error. Considering the different results, it makes sense to move to an automatic cell counter, where you will get the most reproducible results as fast as possible by allowing machine learning algorithms to perform calculations for you.

SS: How can automatic cell counting benefit your customers?

AT: This boils down to three main points, one is the speed of automatic counting, the other is accuracy, and the third is the low cost of use over time: 

AT: Our automatic cell counter performs calculations based on machine learning cloud-based algorithms. This provides consistent data for different users. I found that cloud-based technology really uses the voice of customers and makes improvements based on the needs of individual customers. Through various functional enhancements, we have been able to enhance our automatic cell counter, and we have been able to meet customer needs time and time again.

An example of this is the added histogram function. This tab shows you the living and dead populations. This is a problem early in the life cycle of the cell counter, and we can achieve it without increasing costs. In addition, the dilution calculator is another additional feature. This function can calculate the number of milliliters mixed with the buffer for downstream use and the number of cells required for the experiment.

According to customer feedback, we implemented the auto-focus function in Corning cell counters in July 2021. Users only need to select the “auto-focus” icon and confirm the specifications of the counting room they use. After confirmation, the auto-focus algorithm will input the scanning field of view according to your chamber to obtain the best contrast.

Having said that, we do know that this field will continue to face challenges, and our solutions can adapt to the entire life cycle of the product.

A short video presentation from Corning Life Sciences, demonstrating the practical application of the autofocus function of Corning's cell counter

AT: In addition to speed, accuracy, and low cost, I want to say that it is cloud-based because it has proven to be adaptable and meet unique customer needs. Additional features greatly increase the value and throughput of the device. You can also view your projects and experiments via the cloud link on cloud.cytosmart.com hosted by the Microsoft Azure cloud. This cloud-based option provides remote data and unlimited storage, which is another huge benefit. Therefore, you can continue to count in the lab, and then you can have additional remote access. This means that you can access your data from your iPhone, Android, or even your home laptop.

AT: The development I am most interested in is organoid counting software, which will be launched in the fourth quarter of 2021.

When users harvest 3D cell cultures, they will form organoids, spheres or tumors. CytoSMART has developed a software extension for Corning's cell counter to capture data based on the appearance of specific 3D populations. For example, are your 3D graphics irregular in shape or have a more spherical appearance?

If our users use non-spherical organoids, they will use version 1 of the organoid counting software, which has been trained to swallow the entire graph to measure surface area and concentration data. However, if you deal with more spherical objects in your analysis, you will choose version 2 of the organoid counting software. This version better detects the spheres in the cluster. 

Therefore, cloud-based automatic counting is a huge benefit, and we have seen it in the field. But what we want to develop is a multi-market device that can capture data for 2D and 3D cell analysis.

Since Corning's cell counter went on the market, we have completed many improvements in a short period of time. This is driven by Corning's business and cross-functional teams, who have outstandingly gone out and listened to customers' opinions, striving to provide the next solution related to automated cell counting.

Do you use Corning Life Science instruments in your research? Write a review now and you will have a chance to win an Amazon voucher worth $400.

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