Quantitative analysis of digital microscope images.
This chapter discusses quantitative analysis of digital microscope images and presents several exercises to provide examples to explain the concept. This chapter also presents the basic concepts in quantitative analysis for imaging, but these concepts rest on a well-established foundation of signal theory and quantitative data analysis. This chapter presents several examples for understanding the imaging process as a transformation from sample to image and the limits and considerations of quantitative analysis. This chapter introduces to the concept of digitally correcting the images and also focuses on some of the more critical types of data transformation and some of the frequently encountered issues in quantization. Image processing represents a form of data processing. There are many examples of data processing such as fitting the data to a theoretical curve. In all these cases, it is critical that care is taken during all steps of transformation, processing, and quantization.
Sensor Technologies, LLC, Shrewsbury, Massachusetts, USA.
David E
DE
Wolf
Champika
C
Samarasekera
Jason R
JR
Swedlow
D000465:Algorithms; D002138:Calibration; D003627:Data Interpretation, Statistical; D005069:Evaluation Studies as Topic; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods; D059629:Signal-To-Noise Ratio
Calibration curve; Flatfield correction; Fluorescent beads; Microscope field; Quantitative analysis