In recent years, confocal fluorescence microscopes have become widespread and many Z-stack data have been collected. However, it is the current situation that there is hardly a method for three-dimensional observation of huge amounts of data with sufficient resolution and without loss of information. In light of this situation, we have developed an image processing algorithm, referred to as arbitrary blur algorithm (ABA), which enables post-adjustment of DOF and 3D image observation from a free viewpoint, with high resolution and without loss of information. In this report, we first explain the principle of image processing that enables depth of field (DOF) adjustment and 3D image observation from a free viewpoint using Z-stack data. Next, the results of the simulation are introduced. In the simulation, we show the comparison result of the point image by MIP (maximum intensity projection) method and the point image of the proposed method and clarify the superiority of the proposed method. Next, we introduce the results of the experimental verification. For experimental verification, we show the results using wide field fluorescence microscope Z-stack data and confocal fluorescence microscope Z-stack data. As confocal data, observation examples of mouse hippocampal neuron synapses are shown in comparison with the results displayed by existing software.
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