Cassandra Boyer and Marc Bruce, Co-founders of Microvolution talked about software based technology to help accelerate medical research, at http://www.bio2devicegroup.org event.
The primary application of this technology is in microscopy. Traditionally, it takes several minutes to hours for microscopy images to be focused. The process of focusing digital images with mathematical algorithms is called deconvolution. Existing deconvolution technology requires researchers to wait several hours to days to know if their experiment is a success or a failure, this uses up a great deal of time and causes huge waste because the researcher does not have the proper knowledge to make adjustments to failed experiments in real time. Because the current software on the market is slow and arduous to use, scientists often make important decisions from images that are blurry and hazy; thus, missing important details leading to low level of accuracy.
Boyer spoke of Microvolution’s deconvolution technology that enhances the speed and accuracy of medical research. Microvolution starts with the Richardson Lucy Algorithm which was originally invented by NASA to deconvolve (focus) the images from the Hubble Space Telescope. Other vendors use this algorithm, but must make mathematical shortcuts in order to achieve speed with their CPU-based software. These shortcuts result in missing data, such as thin filaments that are missing in the image. Microvolution makes no mathematical shortcuts because it harnesses the speed of the GPU, so images are deconvolved with more accuracy—all data are preserved.
Additionally, Microvolution adds unique mathematical algorithms that no other vendor offers which further enhance the accuracy of the images. Microvolution software delivers the most accurate and fastest deconvolution on the market by combining intelligent software programming with the power of a GPU, coupled with unique mathematical algorithms.
Microvolution software improves and enhances the quality of medical research in several significant ways.
* Enhances Speed: Microvolution is up to 200 times faster compared to more traditional approaches. Because Microvolution is so fast, researchers can try different settings with ease in order to optimize the settings so the best possible image is generated. Also, by capturing more images in less time—data sets improve.
* Empowers Researchers to Diminish Phototoxicity and Photobleaching: In traditional microspcopy, imaging with a high power light beam can cause significant damage to the sample. By incorporating Microvolution into your process, every image can be deconvolved in real-time, thus enabling you to dim the light intensity in real-time and realize improved outcomes. Microvolution increases signal and decreases noise in low light conditions where photon counts are limited.
* Reducing Phototoxicity and Photobleaching: Tradition microscopy methods lead to photochemical destruction of dye or flurophores (photobleaching) and cell death due to phototoxicity. Microvolution allows the researcher to turn down light intensity in real-time and diminish photobleaching. By dimming the light during long-term, time-lapse, live-cell experiments, one may diminish the effects of phototoxicity with Microvolution—cells live longer and this leads to higher success rates.
* Improved Accuracy: In addition to the fact that Microvolution does not take mathematical shortcuts, Microvolution incorporates unique mathematical algorithms for Point Spread Function Models and offers unique noise reduction models. No other vendor uses these algorithms; hence, Microvolution’s accuracy is superior. Additionally, it is important to turn off noise suppression when comparing the data from 2 different images. Microvolution is unique in the industry because it enables you to turn off regularization—this enables you to generate accurate data comparisons between 2 images.
* Deep Tissue and Organoid Imaging: Microvolution’s Blind Deconvolution Option enables researchers to achieve better results when one images thick tissues, organioids and 3-D tissue structures.
* Cost and ease of use: Microvolution is very easy to use as was demonstrated during the presentation. Additionally, GPUs cost less than CPUs and by using GPUs, this frees up the CPUs for other tasks like responding to user input.
* Can integrate real-time deconvolution into existing workflow: Seamless, integrated and instantaneous deconvolution with Microvolution technology enhances success rates and increases productivity, said Boyer.
Microvolution is unique in the industry because it offers the ability to use multiple GPU’s at once. This helps researchers deconvolve very large images in seconds instead of hours. As microscopy techniques evolve, image sizes are getting larger; thus, making it more important to implement software that can handle very large images sizes with ease. Microvolution offers instantaneous and integrated deconvolution for widefield, confocal, two-photon, light sheet, and HCA microscopes with the convenience of a MetaMorph® Drop-in or via an ImageJ/Fiji or Micro-Manager 2.0 Plugin.
Marc Bruce demonstrated the speed and accuracy of Microvolution’s software by deconvolving several raw images in seconds during the live demonstration. Clearly, Microvolution technology seems to offer superior processing of microscopy data. The event was followed by Q&A.