Method and system for determining total count of red blood cells in peripheral blood smear

A TC estimation system, for estimating Total Count (TC) of Red Blood Cells (RBCs) in a blood smear, comprising:

• a processor;
• and
• a memory, communicatively coupled to the processor, storing processor executable instructions, which, on execution causes the processor to:
• receive, a plurality of images of a monolayer of a Peripheral Blood Smear (PBS) in a binary format by an image capturing unit configured to scan the monolayer of the PBS, wherein plurality of patches comprising RBC is extracted from each of the plurality of images;
• estimate, a value for each variable of a set of variables for each of the plurality of images, the set of variables comprising a Foreground Non-Pallor Area (FGNPA) and a density of the RBCs,
• wherein a value of the FGNPA of an image among the plurality of images is estimated by calculating a ratio of a value of Foreground Area (FGA) of the image and a mean value of Non-Pallor Area (NPA) of the RBCs identified in the image, wherein the foreground area is calculated by aggregating NPA of blood cells of size of RBC,
• wherein a value of the density of the RBCs of an image among the plurality of images is estimated by calculating a ratio of the value of FGA and total area of the image, wherein the total area of the image is a summation of the FGA and background area in the image;
• and
• wherein the set of variables are provided to a supervised learning model for estimating the TC of the RBCs.