Abstract: In the field of gastrointestinal tract samples, in particular of gastrointestinal tract cancer samples, and their decontamination and cultivation. In particular, compositions including a mix of penicillin, streptomycin, gentamicin, ciprofloxacin and vancomycin, capable of efficiently decontaminating a gastrointestinal tract sample while maintaining cells viable. Also, methods using these compositions, for decontaminating a gastrointestinal tract sample, culturing a gastrointestinal tract sample, and evaluating the efficacy of drug candidates against a gastrointestinal tract cancer or tumor.

Abstract: A computer implemented cell-counting method including using a computer to perform the steps of applying a predetermined image processing sequence to a sample sub-image to obtain a processed sub-image, the sample sub-image being extracted from a color sample image of a sample including cells of a subject, the image processing sequence including ga main processing series including a closing followed by an opening of the sample sub-image; and for each cluster of adjoining pixels of the processed sub-image: computing a corresponding relevancy score based on a value of at least one predetermined feature of the cluster; and determining that the cluster corresponds to a cell if the computed relevancy score belongs to a predetermined range.

Abstract: Method for determining, in vitro, the cell aggressiveness grade of cancer cells or for detecting cancer stem cells in a cell sample originating from a solid tissue suspected of being cancerous, includes: a) dissociating the cell cluster constituting the sample into a suspension of whole and viable isolated cells, b) macroscopically sorting the cells to obtain homogeneous subpopulations, c) calibrating at least one microwave electromagnetic sensor resonating at its own resonance frequency, d) presenting the dissociated and sorted cells to the calibrated sensor, e) interrogating the sensor and determining its new resonance frequency having received the cells, f) calculating the variation in overall dielectric permittivity of the cells according to the variation in working frequency, which constitutes the electromagnetic signature of the cells. The macroscopic sorting is without prior labelling and is based on the intrinsic properties of the cells. A kit for implementing the method is also described.