A confocal laser scanning microscope (CLSM) enables us to capture images from a biological specimen in different depths and obtain a series of precisely registered fluorescent images. However, images captured from deep layers of the specimen may be darker than images from the topmost layers because of light loss distortions. This effect causes difficulties in subsequent analysis of biological objects. We propose a solution using two approaches: either an online method working already during image acquisition or an offline method assisting as a postprocessing step. In the online method, the gain value of a photomultiplier tube of a CLSM is controlled according to the difference of mean image intensities between the reference and currently acquired image. The offline method consists of two stages. In the first stage, a standard histogram maintaining relative frequencies of gray levels and improving brightness and contrast is created from all images in the series. In the second stage, individual image histograms are warped according to this standard histogram. The methods were tested on real confocal image data captured from human placenta and rat skeletal muscle specimens. It was shown that both approaches diminish the light attenuation in images captured from deep layers of the specimen.

Institute of Physiology Academy of Sciences of the Czech Republic 142 20 Prague 4 Krc Czech Republic

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