A plate count method for aerobic cellulose decomposers in soil by Congo red staining

Caught Red Handed- Congo Staining in the Oropharynx

Cellulose utilization in forest litter and soil: identification of bacterial and fungal decomposers.

Organic matter decomposition in the globally widespread coniferous forests has an important role in the carbon cycle, and cellulose decomposition is especially important in this respect because cellulose is the most abundant polysaccharide in plant litter. Cellulose decomposition was 10 times faster in the fungi-dominated litter of Picea abies forest than in the bacteria-dominated soil. In the ...

a histochemical study of tissue eosinophilia in oral squamous cell carcinoma using congo red staining

background: tumor associated tissue eosinophilia is believed to play a significant role in the biological behavior of the carcinoma. eosinophil infiltrate in association with the head and neck squamous cell carcinoma (scc) have been reviewed from time-to-time. the significance of such an association has been variably thought to be either a potential diagnostic tool for stromal invasion or as a ...

Litter type affects the activity of aerobic decomposers

P. Straková, R. M. Niemi, C. Freeman, K. Peltoniemi, H. Toberman, I. Heiskanen, H. Fritze, and R. Laiho Peatland Ecology Group, Department of Forest Sciences, University of Helsinki, P.O. Box 27, 00014 University of Helsinki, Finland Finnish Forest Research Institute, Vantaa Research Unit, P.O. Box 18, 01301 Vantaa, Finland Finnish Environment Institute, P.O. Box 140, 00251 Helsinki, Finland Wo...

Multiregional evaluation of the SimPlate heterotrophic plate count method compared to the standard plate count agar pour plate method in water.

A new SimPlate heterotrophic plate count (HPC) method (IDEXX Laboratories, Westbrook, Maine) was compared with the pour plate method at 35 degrees C for 48 h. Six laboratories tested a total of 632 water samples. The SimPlate HPC method was found to be equivalent to the pour plate method by regression analysis (r = 0. 95; y = 0.99X + 0.06).