We received a copy of the 2014/2015 Academic Consumables, Equipment, Life Science and Chemicals Contract Handbook from our Sweden distributor, Fisher Scientific, and listed in their instruments section are our Cellometer Mini, Cellometer Auto 1000 and Cellometer Auto 2000! If you are interested in learning more about the uses, applications and benefits of any of these "best buy" instruments, more information can be found here.
Let’s talk about counting chambers for a minute. You might call it a slide, a consumable or a chip. It’s all the same to us. Nexcelom’s first product was a disposable hemacytometer CP2. The rationale was the existing product available for researchers was the hemacytometer, and that was riddled with problems and concerns. They were (and are!) expensive, they are prone to breaking and could be time consuming to wash. Everyone has a bad day from time-to-time, when their mind is somewhere else. It’s not too hard to imagine that human error would come into play and result in a [...]
It's White Paper Wednesday! This month's featured white paper: Using Cellometer Vision and Cyto-ID Stain for Autophagy Detection in Living Cells Our understanding of autophagy has expanded tremendously in recent years, largely due to the identification of the many genes involved in the process, and the use of GFP-LC3 fusion proteins to visually monitor autophagosomes and autophagic activity both biochemically and microscopically [1, 2]. Recently, a novel fluorescent probe, Cyto-ID ® Green autophagy dye, has been developed to facilitate the investigation of the autophagic process [3-5]. In this study, a novel method was performed using the Cellometer image cytometry in combination with Cyto-ID Green autophagy dye for [...]
Acquire Fast, Accurate and Consistent Cell Viability and Concentration Measurements of Small Cells (2 microns or greater)! Obtaining consistent viability and concentration measurements for small cells like yeast, platelets or algae can be challenging. The Cellometers X1 and X2 can both perform bright-field and fluorescent counting of cells 2 microns and greater. X1 and X2 Cellometers are equipped with a 10X magnification lens. Both are capable of providing consistent concentration and viability measurements for cell samples that are 2 microns in size and greater. Both instruments are routinely used in laboratories around the world interested in studying small cells. See [...]
Obtain fast, accurate and consistent cell viability and concentration measurements of primary murine samples in <30 seconds using the Cellometer K2!
Cellometer Vision CBA combines the simplicity of image cytometry with the power of flow analysis software to offer simple, accurate cell-based assays. Generate comparable results to flow cytometry with the Vision CBA Analysis System: Apoptosis Cellometer Vision CBA video demonstrations Autophagy Cell Cycle Proliferation Transfection Viability ... and Others Features of the Vision CBA Analysis System Dual-Fluorescence: The Vision CBA Analysis System comes equipped with two standard fluorescent optics modules for dual-staining analysis of primary cells in heterogeneous samples. Fast Results: Obtain cell images, counts, size measurements, viability calculations, and population data in < 3 minutes. Enhanced Sensitivity: [...]
Using Cellometer Image Cytometer to Perform Consistent and Accurate Cell Cycle, Apoptosis, and GFP Analysis Cellometer K2 and Vision instruments are capable of not only accurately and quickly measuring the cell concentration and viability, but also have the capability to perform multiple cell-based assays. Below we highlight three such assays: Cell Cycle Apoptosis GFP Performing Cell Cycle Assay Analyze and compare the effects of different cell cycle pharmacological agents. Provides researchers with the ability to visually review and confirm counted cells. Use the provided FCS Express™ templates for quick and easy data analysis and presentation. Data acquired on the Cellometer [...]
Cellometer Vision CBA Image Cytometry System Incorporation of FCS Express 4 Software (De Novo Software) into the Vision CBA Analysis System has enabled users to conduct image-based analysis of cell-based assays requiring enhanced gating for the most accurate, reliable, and reproducible results. Side-by-side comparison of results for apoptosis, cell cycle, mitochondrial potential, autophagy, ABC transporter assays, aggresome detection, CD4+ / CD8+ immunophenotyping, and other assays has shown Cellometer image-based analysis results to be comparable to flow cytometry. Flow core labs can utilize the Vision CBA instrument to pre-screen samples prior to sorting and flow cytometry analysis and to [...]
1. Streamline the QC Process Measure cell concentration and viability for multiple sample types using one method! No need to perform RBCs lysis for Clinical Samples: Bone Marrow, Cord Blood, Peripheral Blood, Mobilized Peripheral Blood, Tissue Digests Samples following cryopreservation Samples following density gradient separation Samples following magnetic separation (CD56+, CD34+) Cultured cells 2. Improve Accuracy of QC Results Dual-fluorescence counting eliminates interference from red blood cells, platelets, and debris 3. Reduce Testing Time Automated counting is 10x faster than manual counting 4. Reduce Errors Automated counting eliminates manual counting, calculation, and recording errors 5. Reduce Inter-Operator Variability Pre-set analysis parameters [...]
Cellometer Auto 2000 Cell Viability Counter When performed correctly, correlation studies make it easy to transition from manual counting to Cellometer automated cell counting. Because Cellometer Auto 2000 and Cellomether Vision utilize a dual-fluorescence detection system, fresh blood and bone marrow samples can be analyzed for total nucleated cell concentration and viability without lysing, thus simplifying the testing process and improving the accuracy and consistency of test results. The same method can be used to analyze both fresh and processed samples or users can switch to a more traditional trypan blue method following magnetic separation. Figure 1. [...]