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Countstar Mira FL

Fluorescence cell analyzer

Countstar Mira Fluorescence Cell Analyzer integrates AI intelligent algorithm and adopts patented fixed focus and optical zoom technology to realize the identification of cell characteristics. With trypan blue and AOPI staining methods, it helps to achieve accurate counting of all types of cells and supports GFP/RFP transfection experiments. The instrument is easy to operate, efficient in analysis and testing, saves valuable scientific research time, and helps scientific research laboratory personnel to achieve fast and efficient cell analysis result.


Core Advantages

  • All-in-one design,compact footprint and intelligent
  • Smart to operate, efficient in analysis and testing
  • Progressive AI based images analysis algorithms, can identify and analyze multiple characteristic cells.
  • Unique zooming technology enable users to analyze cells in a wide range of diameters
  • Include the patented fixed focus technology and other new patented solutions to ensure accurate data results
  • Multiple application features
  • Product details
Product details

Product features


Innovative Optical Multiplication Technology

Unique zooming technology enable users to analyze cells in a wide range of diameters

When using the bright field BioApp templates in the Countstar Mira, the novel Zooming Technology enables the operator to accurately identify cellular objects within a diamater range from 1.0µm to 180.0µm. Acquired images shows even details of the single cells. This widens the range of applications even to cellular objects, that could not be analyzed precisely in the past.


Examples of typical cell lines in correlation to the selectable magnifications 5x, 6.6x, and 8x
Magnification Diameter range 5x 6.6x 8x
>10µm 5-10 µm 1-5 µm
Cell Type
  • MCF7
  • HEK293
  • CHO
  • MSC
  • RAW264.7
  • Immune Cell
  • Beer yeast
  • Zebrafish embryo cells
  • Pichia Pastoris
  • Chlorella vulgaris (FACHB-8)
  • Escherichia


Progressive AI based Image Analysis algorithms

The Countstar Mira FL uses the advantages of Artifical Intelligence to develop self-learning algorithms. They are able to identify and analyze multiple characteristics of cells. The integration of cell shape parameters allows for highly accurate and reproducible analysis of the cell cycle status and/or delivers data about the correlation between change in cell morphology, the formation of cell clusters (aggregates, small sized spheroids) and the affecting conditions.


Labelling results of irregular shaped Mesenchymal Stem Cells (MSC; 5x mangification) in a proliferating culture

  • Green circles mark live cells
  • Red circles mark dead cells
  • White circles aggregated cells


RAW264.7 cell line is the small and easily clumped. The Countstar AI algorithm can identify the cells in the clumps and count

  • Green circles mark live cells
  • Red circles mark dead cells
  • White circles aggregated cells


Uneven size of zebrafish embryonic cells (6.6X magnification

  • Green circles mark live cells
  • Red circles mark dead cells
  • White circles aggregated cells


Intuitive Graphical User Interface (GUI) Design

The clear structured GUI allows for an efficient and comfortable experiment execution

  • Extensive library with pre-set cell types and BioApps (assay template protocols). Just one click on the BioApp, and the test can start.
  • The user-friendly GUI makes it easy to switch between the different menu options and guarantees a comfortable test experience
  • Clear structured menu modules support the user in the daily test routine


Select the BioApp, enter a Sample ID, and start the assay run


128 GB of interal data storage capacity, sufficient to store approx. 50,000 analysis results in the Countstar (R) Mira. For fast access, wanted data can be selected by various search options.


A useful feature to save time, is the retrievable dilution calculator. It will deliver the exact volumes of diluent and original cell sample, once the final concentration of cells and the target volume is entered. This makes a passaging of cells to their subcultures comfortable.


Multiple application features

The analysis features of the Countstar Mira support the user in understanding the dynamic changes inside a cell culture and helps to optimize their growing conditions.

The advanced, AI based image recognition software of the Countstar Mira is capable to deliver multiple parameters. Beside standard results of cell concentration and viability status, the cell size distribution, a possible formation of cell clusters, the relative fluorescence intensity of each single cell, the form of a growth curve, and their outer morphology factor are important parameters to assess the actual state of a cell culture. The automatically generated graphs of growths curves, diameter distribution and fluorescence intensity histograms, single cell analysis inside aggregates and determination of the cell compactness parameter facilitates the user to better understand the dynamic processes inside an examined cell culture from start to termination of the process.




Relative Fluorescence Intensity (RFI) distribution histogram


Diameter distribution histogram


Growth curve

Test Image(s) and Results


Growth curve diagram


Product Application


AO/PI dual fluorescence cell density and viability assays

The dual-fluorescence AO/PI staining method is based on the principle, that both dyes, Acridine Orange (AO) and Propidium Iodide (PI), are intercalating between the nucleic acids of the chromosome in a cell’s nucleus. While AO is capable to permeate intact membranes of the nucleus at any time and stain the DNA, PI can only pass the compromised membrane of the nucleus of a dying (dead) cell. The accumulated AO in the cell nucleus emits a green light at a maximum of 525nm, if excited by at 480nm, PI is sending out a red light with its amplitude at 615nm, when excited at 525nm. The FRET (Foerster Resonance Energy Transfer) effect guarantees, that the emitted signal of AO at 525nm is absorbed in the presence of the PI dye to avoid double light emittance and spill over. This special dye combination of AO/PI allows to filter specifically nucleus containing cells in presence of acaryotes like erythrocytes.


Countstar Mira FL data showed good linearity for the gradient dilution of HEK293 cells


GFP/RFP transfection efficiency analysis

The transfection efficiency is an important index in cell line development and optimization, in viral vector tuning, and for product yield monitoring in Biopharma processes. It has become the most frequently established test to determine fast reliably the content of a target protein inside a cell. In various gene therapy approaches, it is an indispensable tool to control the transfection efficiency of the desired genetic modification.

The Countstar Mira not only provides precise and accurate results, compared to flow cytometry, additionally the analyzer provides images as proof of evidence. Beside this, it significantly simplifies and speeds up the analysis to streamline the development of a development and production process.


Image series, acquired by the Countstar(R) Mira, showing increasing transfection efficiency levels (from left to right) of genetically modified cells (HEK 293 cell line; expressing GFP in different concentrations)


Results of comparative measurements, executed with a B/C CytoFLEX, confirming the GFP transfection efficiency data of modified HEK 293 cells, analyzed in a Countstar Mira


Widely established Trypan Blue viability analysis

The Trypan Blue viability discrimination assay is still one of the most widely used and reliable methods to determine the number of (dying) dead cells inside a suspension cell culture. Viable cells with an intact outer cell membrane structure will repel Trypan Blue from permeating the membrane. In case, the cell membrane gets leaky due to the progress of its cell death, Trypan Blue can pass the membrane barrier, accumulates in the cell plasma and stain the cell blue. This optical difference can be used to distinguish immaculately living cells from dead cells by the image recognition algorithms of the Countstar Mira FL.


  • Images of three, Trypan Blue stained cell lines, acquired in a Countstar (R) Mira FL in bright field mode.


  • Results of a dilution gradient of HEK 293 series

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