Abstract: Methods and systems for determining a minimum number of cell line clones necessary to produce a product having a set of target product attributes are disclosed. An example method includes generating at least one cell line capable of expressing a polypeptide; measuring, using one or more analytical instruments, a plurality of measured product attribute values of a plurality of clones of a candidate cell line; receiving inputs, via a user interface, representing a set of target product attribute values for a product; projecting, by one or more processors based upon the plurality of measured values, a minimum number of subject clones of the product using the candidate cell line necessary to produce a subset of the subject clones having product attributes that satisfy one or more conditions associated with the set of target values; and generating the projected minimum number of subject clones of the product using the candidate cell line.

Abstract: A method of facilitating a growth assessment for a cell line includes generating an image of a well that contains a medium that was inoculated with at least one cell of the cell line. The method also includes generating a down-sampled segmentation map comprising pixels that indicate an inferred presence or absence of a cell colony in corresponding portions of the well image. Generating the down-sampled segmentation map includes inputting the well image to a fully convolutional neural network having a plurality of convolutional layers. The method also includes (i) determining, by inputting colony size information (including the down-sampled segmentation map and/or a pixel count derived therefrom) to a cell growth assessment algorithm, a growth classification or score for the cell line, and causing a display of the growth classification or score, and/or (II) causing a display of the colony size information to facilitate a manual cell growth assessment.