Abstract: A method for determining a quantity of interest related to the density of organic tissue starts with a digital representation of a histological image of the tissue. The digital representation is converted to a binary image, to discriminate pixels that represent tissue of interest in the image. A box filter is applied to values of the pixels of interest to obtain a tissue density value for each pixel of interest. A quantity of interest is computed, based upon the tissue density values for the pixels of interest. A tangible representation of the computed quantity of interest, such as a numerical value, a graph, or a color representation, is displayed or otherwise presented via an interface.

Abstract: A method for producing a multiparameter graphic indicator relating to a remodelling of the human or animal bronchial epithelium from a digital representation of a histological section of a lung comprising one or more components, each of which describes a wall enclosing a lumen. Such a method makes it possible, in particular, to estimate one or more quantities of interest relating to one or more components in order to produce a graphical representation describing the quantity or quantities of interest so as to assist with diagnosing a disease or analyzing the effectiveness of a molecule for therapeutic purposes. The method is implemented by a processing unit of an electronic object of a histological analysis system.

Abstract: The invention concerns a method for producing a multiparameter graphic indicator relating to a remodelling of human or animal pulmonary alveoli from a digital representation of a histological section of a lung comprising one or more components each of which describes a wall enclosing a lumen. The method can estimate one or more quantities of interest relating to one or more components in order to produce a graphic representation describing the quantity or quantities of interest in order to provide an aid for diagnosis of a disease or for analysis of the therapeutic effectiveness of molecules. The method is implemented by a processing unit of an electronic object of the histological analysis system.

Abstract: A method for determining a quantity of interest related to the density of organic tissue starts with a digital representation of a histological image of the tissue. The digital representation is converted to a binary image, to discriminate pixels that represent tissue of interest in the image. A box filter is applied to values of the pixels of interest to obtain a tissue density value for each pixel of interest. A quantity of interest is computed, based upon the tissue density values for the pixels of interest. A tangible representation of the computed quantity of interest, such as a numerical value, a graph, or a color representation, is displayed or otherwise presented via an interface. Prior to forming the digital representation, the tissue can be stained to distinguish particular types of tissue for removal or enhancement in the determination of the quantity of interest.

Abstract: A method for determining a quantity of interest related to the density of organic tissue starts with a digital representation of a histological image of the tissue. The digital representation is converted to a binary image, to discriminate pixels that represent tissue of interest in the image. A box filter is applied to values of the pixels of interest to obtain a tissue density value for each pixel of interest. A quantity of interest is computed, based upon the tissue density values for the pixels of interest. A tangible representation of the computed quantity of interest, such as a numerical value, a graph, or a color representation, is displayed or otherwise presented via an interface.