Computer device for detecting an optimal candidate compound and methods thereof

1. A method for a computer device, for detecting an optimal candidate compound based on a plurality of samples comprising a cell line and one or more biomarkers, and a plate map configuration, wherein the plate map configuration is providing locations of samples comprising cell lines exposed to one or more biomarkers and different concentrations of a candidate compound forming at least one concentration gradient, the candidate compound being comprised in a plurality of candidate compounds, said method comprising:

generating phenotypic profiles of each concentration gradient of each of the plurality of candidate compounds at a plurality of successive points in time to form a plurality of compound profiles, wherein generating phenotypic profiles comprises the steps obtaining image data depicting each sample comprised in the concentration gradient, generating a class-label and a class for each cell of the samples based on the image data, and

detecting the optimal candidate compound by evaluating a comparison criterion on the plurality of compound profiles.

2. The method according to claim 1 , further comprising the steps:

selecting an exemplary subset of image data depicting at least one cell of the samples for each class-label and/or class,

displaying the exemplary subset of image data and the respective class-label and/or class to a user,

receiving user input data from the user indicative of an operation on at least one class, and

performing the operation on the class-label and/or class of cells of the samples based on the user input data.

3. The method according to claim 2 , wherein the operation on at least one class is selected from add class, delete class, split class or merge class.

4. The method according to claim 1 , wherein the method step of detecting the optimal candidate compound further comprises:

obtaining one or more reference compound profiles,

calculating a multi-dimensional differential value for each compound profile of the plurality of compound profiles based on the one or more reference compound profiles, and

detecting the optimal candidate compound by evaluating a comparison criterion on the plurality of compound profiles, wherein the comparison criterion is evaluated based on the multi-dimensional differential values.

5. The method according to claim 1 , wherein the image data is depicting each sample comprised in the concentration gradient from a plurality of field of views and/or the image data is depicting each sample comprised in the concentration gradient processed with a plurality of image filters.

6. A computer device for detecting an optimal candidate compound based on a plurality of samples comprising a cell line, one or more biomarkers, and a plate map configuration, wherein the plate map configuration is providing locations of samples comprising cell lines exposed to one or more biomarkers and different concentrations of a candidate compound forming at least one concentration gradient, the candidate compound being comprised in a plurality of candidate compounds, the computer device comprising:

a processor, and

a memory, said memory containing instructions executable by said processor, whereby said computer device is operative to:

generate phenotypic profiles of each concentration gradient of each of the plurality of candidate compounds at a plurality of successive points in time to form a plurality of compound profiles, wherein generate phenotypic profiles comprises the steps obtain image data depicting each sample comprised in the concentration gradient, generate a class-label and a class for each cell of the samples based on the image data, and

detecting the optimal candidate compound by evaluating a comparison criterion on the plurality of compound profiles.

7. The computer device according to claim 6 , further comprising an input device and a display, wherein the computer device is further operative to:

select an exemplary subset of image data depicting at least one cell of the samples for each class-label and/or class,

display the exemplary subset of image data and the respective class-label and/or class on the display, to a user,

receive user input data from the input device, indicated by a user, indicative of an operation on at least one class, and

perform the operation on the class-label and/or class of cells of the samples based on the user input data.

8. The computer device of claim 6 , wherein the computer device is further operative to display the phenotypic profiles and/or compound profiles on the display.

9. The computer device according to claim 6 , wherein the computer device is further operative, when detecting the optimal candidate compound, to:

obtain one or more reference compound profiles,

calculate a multi-dimensional differential value for each compound profile of the plurality of compound profiles based on the one or more reference compound profiles, and

detect the optimal candidate compound by evaluating a comparison criterion on the plurality of compound profiles, wherein the comparison criterion is evaluated based on the multi-dimensional differential values.

10. The computer device according to claim 6 , wherein the concentration gradients of a candidate compound comprise a plurality of separate wells, wherein each well comprises a sample of the cell line exposed the one or more biomarkers and different concentrations of the candidate compound and is arranged according to the plate map configuration.

11. A computer program product comprising a non-transitory computer-readable storage medium encoded with computer-executable instructions for causing a computer device, when the computer-executable instructions are executed on a processing unit comprised in the computer device, to perform the method steps:

generating phenotypic profiles of each concentration gradient of each of a plurality of candidate compounds at a plurality of successive points in time to form a plurality of compound profiles, wherein generating phenotypic profiles comprises the steps obtaining image data depicting each sample comprised in the concentration gradient, generating a class-label and a class for each cell of the samples based on the image data, and

detecting the optimal candidate compound by evaluating a comparison criterion on the plurality of compound profiles.

12. The computer program according to claim 11 , further causing the computer device to perform the method steps of:

select an exemplary subset of image data depicting at least one cell of the samples for each class-label and/or class,

display the exemplary subset of image data and the respective class-label and/or class to a user,

receive user input data from the user indicative of an operation on at least one class, and

perform the operation on the class-label and/or class of cells of the samples based on the user input data.

13. The computer program according to claim 12 , wherein the operation on at least one class is selected from add class, delete class, split class or merge class.

14. The computer program according to claim 11 , further causing the computer device to perform the method step of detecting the optimal candidate compound by further performing the method steps of:

obtaining one or more reference compound profiles,

calculating a multi-dimensional differential value for each compound profile of the plurality of compound profiles based on the one or more reference compound profiles, and

detecting the optimal candidate compound by evaluating a comparison criterion on the plurality of compound profiles, wherein the comparison criterion is evaluated based on the multi-dimensional differential values.