The number and volume of glomeruli are very important for the diagnosis and treatment of various kidney diseases1,2,3,4,5. The golden standard of glomeruli number estimation is the physical dissector/fractionator combination. However, this method requires special reagents and equipment, making it slow and expensive6,7,8,9. Biopsy provides a wealth of information, but obviously, this method is only suitable for rough estimations10,11. Medical imaging technologies, including magnetic resonance imaging (MRI), computed tomography (CT), and X-ray, are also widely used in glomerular detection12,13,14,15, but such technologies require bulky instruments. New methods, such as matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometer16 or the thick and thin section method17, have also been used in glomerular detection, though they remain tedious and laborious.
With the help of transparency technologies, it is possible to observe deeper depths and obtain richer and more complete information from thick tissues or even whole organs18,19,20,21,22,23. Therefore, transparency technologies have been widely used in kidney research24. The observation and detection of glomeruli in the cleared kidneys are also involved. However, these published articles either only briefly referred to glomerular detection25 or used difficult-to-achieve labeling methods such as transgenic animals26, self-produced dyes13, or high-concentration antibody incubation27 to label the glomeruli. In addition, although studies had analyzed glomeruli in cleared kidneys, the analyses were always limited13 or relied on analysis algorithms established by the authors themselves26.
We have previously demonstrated a more convenient way to label the glomeruli in mice kidneys28. By using Imaris, we found that glomeruli count, frequency, and volume could be quickly obtained. Thus, here we present a more accessible, comprehensive, and simplified set of methods to label and analyze the glomeruli of mice kidneys.