Biomedical Imaging and Instrumentation
Imaging Cells, Molecules, Genomes, Tissues and Organs
Jun Liao
PROFESSOR
University of Texas at Arlington
Arlington, Texas, United States
Duc Khang Chung
Undergradaute Reseacher
University of Texas at Arlington, United States
Milad Almasian
Graduate researcher
University of Texas at Dallas, United States
Timothy Eastep
Graduate researcher
University of Texas at Arlington, United States
Kytai Nguyen
Professor
The University of Texas at Arlington, United States
Matthias Peltz
Associate Professor of Surgery
University of Texas Southwestern Medical Center, United States
Pietro Bajona
Associate Professor of Surgery
Allegheny Health Network, United States
Yi Hong
PROFESSOR
University of Texas at Arlington, United States
Yichen Ding
Assistant Professor
University of Texas at Dallas, United States
Hypertrophic septal tissues were obtained as the surgical waste following septal myectomy surgery performed by Dr. Pietro Bajona at the Allegheny Healthy Network (AHN IRB Approval Number: 2020-240). The iDISCO method employs a three-step process comprising dehydration, dilapidation, and refractive index matching. The method involves the complete removal of lipids and dehydration of the tissue, which largely minimizes light scattering. The organic solvent solution is then used to replace the dehydrated and delipidated tissue with refractive index matching. The light sheet is created with a cylindrical lens, and ETL moves the focal region of the Gaussian beam which is synchronized with the active sensor on the camera. The auto-fluorescence emitting from the heart is captured by the detection objective lens and sCMOS camera. A five-axis stage is used to translate and rotate the heart along the detection axis while the light sheet is stationary, enabling us to capture a 3D image stack of the heart. A customized LabVIEW control algorithm is used to synchronize the propagation of the laser, the stage movement, the sCMOS camera rolling shutter, and the electrically tunable lens (ETL). During the image acquisition process, the inherent trigger and rolling shutter on the sCMOS are employed to capture sequential uniform 2D images, while the stage continuously translates the heart across the light sheet at a constant velocity that is determined by the step size and exposure time [3]. Volume rendering of the acquired images was done using the Amira software.