Microendoscopes allow clinicians to view subcellular features in
vivo and in real-time, but their field-of-view is inherently limited by the
small size of the probe's distal end. Video mosaicing has emerged as an
effective technique to increase the acquired image size. Current
implementations are performed post-procedure, which removes the benefits
of live imaging. In this manuscript we present an algorithm for real-time
video mosaicing using a low-cost high-resolution microendoscope. We
present algorithm execution times and show image results obtained from in
vivo tissue