Cryogenic sequenced layering for the 3D reconstruction of biological objects

Vladimir Nikolaevich Nikolenko, Alexey Anatolyevich Terpilovsky, Alexey Leonidovich Kuzmin, Regina Alekseevna Lukashkina, Alexey Evgenievich Strizhkov, Andrei Vladimirovich Suslov, Ekaterina Vladimirovna Kochurova, Liliya Vladimirovna Gavrushova, Mikhail Yegorovich Sinelnikov
2020 Scientific Reports  
Three-dimensional (3D) visualization is applied throughout many specialities, prompting an important breakthrough in accessibility and modeling of data. Experimental rendering and computerized reconstruction of objects has influenced many scientific achievements, facilitating one of the greatest advancements in medical education since the first illustrated anatomy book changed specialist training forever. Modern medicine relies on detailed, high quality virtual models for educational,
more » ... cational, experimental and clinical purposes. Almost all current virtual visualization methods rely on object slicing producing serial sections, which can then be digitalized or analyzed manually. The tendency to computerize serial sections roots from convenience, accessibility, decent visualization quality and automation capabilities. Drawbacks of serial section imaging is tissue damage occurring within each consequent sectioning. To utilize the important aspects of real-life object reconstruction, and maintain integrity of biological structures, we suggest a novel method of low-temperature layering of objects for digitization and computerized virtual reconstruction. Here we show the process of consequent imaging of each novel layer of a biological object, which provides a computer with high quality data for virtual reconstruction and creation of a multidimensional real-life model. Our method prevents tissue deformation and biodegradation due to specific methods used in preparation of the biological object. The resulting images can be applied in surgical training, medical education and numerous scientific fields for realistic reconstruction of biological objects.
doi:10.1038/s41598-020-68682-z pmid:32681082 fatcat:lq374jsp4jay5hfwtmvifw3lfi