scholarly journals A New Protocol of Computer-Assisted Image Analysis Highlights the Presence of Hemocytes in the Regenerating Cephalic Tentacles of Adult Pomacea canaliculata

2021 ◽  
Vol 22 (9) ◽  
pp. 5023
Author(s):  
Giulia Bergamini ◽  
Mohamad Ahmad ◽  
Marina Cocchi ◽  
Davide Malagoli

In humans, injuries and diseases can result in irreversible tissue or organ loss. This well-known fact has prompted several basic studies on organisms capable of adult regeneration, such as amphibians, bony fish, and invertebrates. These studies have provided important biological information and helped to develop regenerative medicine therapies, but important gaps concerning the regulation of tissue and organ regeneration remain to be elucidated. To this aim, new models for studying regenerative biology could prove helpful. Here, the description of the cephalic tentacle regeneration in the adult of the freshwater snail Pomacea canaliculata is presented. In this invasive mollusk, the whole tentacle is reconstructed within 3 months. Regenerating epithelial, connective, muscular and neural components are already recognizable 72 h post-amputation (hpa). Only in the early phases of regeneration, several hemocytes are retrieved in the forming blastema. In view of quantifying the hemocytes retrieved in regenerating organs, granular hemocytes present in the tentacle blastema at 12 hpa were counted, with a new and specific computer-assisted image analysis protocol. Since it can be applied in absence of specific cell markers and after a common hematoxylin-eosin staining, this protocol could prove helpful to evidence and count the hemocytes interspersed among regenerating tissues, helping to unveil the role of immune-related cells in sensory organ regeneration.

2000 ◽  
Vol 192 (4) ◽  
pp. 545-548 ◽  
Author(s):  
Friedrich Jesenik ◽  
David R. Springall ◽  
Anthony E. Redington ◽  
Caroline J. Dor� ◽  
Don-Carlos Abrams ◽  
...  

2009 ◽  
Vol 44 (3) ◽  
pp. 179-185 ◽  
Author(s):  
G. Balercia ◽  
A. Sbarbati ◽  
F. Franceschini ◽  
A. Bravo-Cuellar ◽  
A. Osculati ◽  
...  

1985 ◽  
Vol 77 (3) ◽  
pp. 722-730 ◽  
Author(s):  
Mordecai J. Jaffe ◽  
Andrew H. Wakefield ◽  
Frank Telewski ◽  
Edward Gulley ◽  
Ronald Biro

LWT ◽  
2016 ◽  
Vol 67 ◽  
pp. 37-49 ◽  
Author(s):  
Piotr Zapotoczny ◽  
Piotr M. Szczypiński ◽  
Tomasz Daszkiewicz

2001 ◽  
Vol 49 (10) ◽  
pp. 1285-1291 ◽  
Author(s):  
Robert A. Underwood ◽  
Nicole S. Gibran ◽  
Lara A. Muffley ◽  
Marcia L. Usui ◽  
John E. Olerud

Immunohistochemistry (IHC) is a valuable tool for labeling structures in tissue samples. Quantification of immunolabeled structures using traditional approaches has proved to be difficult. Manual counts of IHC-stained structures are inherently biased, require multiple observers, and generate qualitative data. Stereological methods provide accurate quantification but are complex and labor-intensive when staining must be compared among large numbers of samples. In an effort to quickly, objectively, and reproducibly quantify cutaneous innervation in a large number of counterstained tissue sections, we developed a color subtractive–computer-assisted image analysis (CS–CAIA) system. To develop and test the CS–CAIA method, tissue sections of diabetic (db/db) mouse skin and their wild-type (db/–) littermates were stained by IHC for the neural marker PGP 9.5. The brown-red PGP 9.5 peroxidase stain was colorimetrically isolated through a scripted process of color background removal. The remaining stain was thresholded and binarized for computer determination of nerve profile counts (number of stained regions), area fraction (total area of nerve profiles per unit area of tissue), and area density (total number of nerve profiles per unit area of tissue). Using CS–CAIA, epidermal nerve profile counts, area fraction, and area density were significantly lower in db/db compared to db/– mice.


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