Techniques of Image Analysis Microscopy: From 2D to 3D!
Microscopic image analysis has applications in a diversity of work fields from medicine, cancer research and drug testing to metallurgy. Technological advances now allow for an advanced interface between an image processing system and a microscope. Image analysis microscopy is developing at an accelerated pace.
Microscopic image processes have made a jump from 2D to 3D techniques thanks to the availability of advanced software that enables the reconstruction of 3D models for an original sample.
Common 2D techniques
By means of some basic 2D techniques, the information contained in the microscopic sample is accurately reproduced and processed, which represents the very essence of image analysis microscopy. Basic 2D operations include:
- Brightness and contrast adjustment for superior image clarity;
- Correction for illumination non-uniformities;
- Reduction of image noise by image averaging etc.
These common processes for microscopic imagery rely on simple arithmetic operations (subtraction, addition, multiplication and division). The majority of processes specific to image analysis consist of such basic operations.
More advanced 2D operations include:
- Convolution for reducing or enlarging image details;
- De-convolution for eliminating the blurring and distortion of the microscopic optical path;
- Image rotation;
- Color balancing;
Programs used for microscopic image processes work with specific algorithms that alter the pixel value in order to perform the blurring or sharpening actions of convolution and de-convolution operations. These algorithms make the passage into 3D image processing.
3D image techniques
Image analysis varies greatly depending on the application. The operations of a typical 3D analysis include:
- Calculation of the area;
- Perimeter length;
- Count of similar objects;
- Determining the edges of an object;
- Specific measurements etc.
With the 3D approach, an image mask is created. This mask includes only pixels that correspond to a certain criteria. Specialized software is used to recreate the 3D model of the original sample. Most microscope samples are transparent and have a narrow depth of field; therefore, it is possible to capture a three-dimensional object using a 2D tool.
3D software for image analysis
Digital imaging is essential for research in all fields. The results of experiments can be enhanced, overlaid or displayed according to various needs allowing for both quantitative and qualitative measurements. What can a software tool do for imagine analysis microscopy?
- It helps handle large file formats.
- It provides reproducible results for various scientific experiments.
- It acquires, processes, analyzes and interprets data.
- It provides an open application environment for further generation of customized macro solutions.
- It adjusts to the user’s requirements whether for biology, medicine and metallurgic applications.
By software configuration, microscopic image analysis is adjusted to the user’s needs so as to automate the workflow, generate new applications or simply record the history of images to comply with FDA regulations.
2D microscopic analysis techniques continue to provide the basic support for 3D processes. Computer software generates various three-dimensional models starting from these 2D operations. Scientific, research and industrial applications heavily rely on advanced microscopic image analysis. Therefore, software programs have become a necessity not only for decoding but also for managing, processing and storing large amounts of microscopy data. Contact us for more details.