FlowCam - Flow Imaging Microscopy Blog

What CAN'T be run through the FlowCam? The list below shows the majority of substances that have been imaged and analyzed on the FlowCam over the course of our 20 year history. Is your application on the list? If not, send us a sample, and we'll add it! Keep reading below to learn more about some of our favorite applications.

We use our Flow Imaging Microscopy blog as a platform to bring you relevant news and academic research, as well as highlighting developments and new uses of FlowCam technology. This year we published 68 blog posts on a large variety of subjects. Keep reading to see the countdown to the most popular post of 2019.

Based on proven FlowCam^® technology, the FlowCam Cyano automatically identifies cyanobacteria from other algae and particles in aquatic samples. Using a patent-pending combination of excitation wavelength, phycocyanin fluorescence measurement, and image recognition software, the system automates what was previously done using manual microscopy. After differentiating the cyanobacteria from the other algae in the sample, VisualSpreadsheet and Advanced Classifier software can be used to further characterize specific types of algae found in the sample using 40+ physical parameters. 

Keep reading to view our new video and see the inner workings of the FlowCam Cyano, as well as a detailed demonstration of VisualSpreadsheet's automated classification process.

FlowCam customers frequently ask us how to optimize analysis of Microcystis, a globally pervasive colonial cyanobacteria (blue-green algae) which is seen in source water systems and recreational lakes. The colonies can range in size from a few microns up to several thousand microns in diameter. Customers are concerned about losing part of the sample or not being able to capture a quality image due to the colony’s size and density. Dense colonies superimpose cells in the image, making it easy to underestimate cell counts, while large colonies can make it challenging to determine what objective is best used to image the sample.

Question:  What protocol does Fluid Imaging recommend to analyze colonies and scums of Microcystis?

When considering how to characterize your subvisible particles for food and beverage production it's important to be able to see the images of different particle types.

Thursday, November 21st marks Maine's annual statewide event that aims to get middle school students excited about science. This event provides 6th, 7th, and 8th graders exposure to professionals in science-related fields, with the goal of introducing them to a variety of careers available in the sciences.

New research using machine learning technology may help doctors identify pathogens in blood samples in a fraction of the time of current methods, leading to faster deployments of life-saving treatments in patients suffering from sepsis, especially newborns.

While most imaging particle analyzers only offer gray-scale (black and white) cameras for image acquisition, the FlowCam offers a choice of either gray-scale or color cameras. This post will explain the difference between these two camera choices, and discuss the inherent trade-offs that should be considered when choosing which camera to use. The summary of recommendations can be found in Figure 1 at right. Keep reading to learn the technology behind this important decision.

Fluid Imaging Technologies and the University of Colorado have entered into an exclusive patent licensing agreement aiming for the automated detection and identification of waterborne and bloodborne bacteria.

Cardiovascular implants, such as drug coated balloons or drug eluting stents used to treat coronary artery disease are subject to rigorous testing for safety. The assessment of particles released from such devices is essential in the approval of these types of coated medical devices because particles released into the blood stream can increase the risk of emboli. In this study the FlowCam was used to count and analyze particles collected during simulated tests, and these results were compared to light obscuration particle counting.
Pictured at right, FlowCam images with different threshold values.