Hematology flow system

A sample analysis method comprising:

• a) using a fluidics system:
• i) flowing a first portion of a blood sample through a first module, the first module being a flow imaging module comprising a flowcell and an image capture device configured to capture a plurality of images of cells of the first portion of the blood sample;
• and
• ii) flowing a second portion of the blood sample through a second module, the second module configured to test for one or more numerical parameters of cells of the second portion of the blood sample;
• and
• b) using one or more processors:
• i) determining the one or more numerical parameters of cells of the second portion of the blood sample;
• ii) analyzing the plurality of images of the cells of the first portion of the blood sample using a machine learning model to determine cell types;
• and
• iii) presenting a computing interface comprising the plurality of images of the cells of the first portion of the blood sample, the determined cell types, and the one or more numerical parameters of the cells of the second portion of the blood sample.

A sample analysis system comprising:

• one or more processors;
• and
• one or more non-transitory computer readable mediums storing instructions to, when executed, perform a set of acts comprising:
• flowing a first portion of a blood sample through a first module, the first module being a flow imaging module comprising a flowcell and an image capture device configured to capture a plurality of images of cells of the first portion of the blood sample;
• flowing a second portion of the blood sample through a second module, the second module configured to test for one or more numerical parameters of cells of the second portion of the blood sample;
• determining the one or more numerical parameters of cells of the second portion of the blood sample;
• analyze the plurality of images of the cells of the first portion of the blood sample using a machine learning model to determine cell types;
• and