Patent ID: 11932836
Assignee: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.
Field: Biotechnology (Chemistry)
Classification: CPC C | IPC C

Claim 8:
9. An apparatus comprising:
a culture vessel, wherein the culture vessel includes a partition member disposed on a bottom wall of the culture vessel, wherein the partition member includes one or more chambers, wherein one or more electrodes are disposed in the one or more chambers, wherein each of the one or more electrodes are composed of at least one reference electrode and at least one measurement electrode that are disposed about a partition wall that separates the one or more chambers from each other;
a memory storing a program; and
a processor configured to execute the program to:
(a) acquire a first data series (X11, . . . , X1p), . . . , an m-th data series (Xm1, . . . , Xmp), where
X11 is a first potential at a first measurement electrode of the one or more electrodes at a time t1 with respect to a first reference potential at a reference electrode of the one or more electrodes at the time t1,
X1p is a second potential at the first measurement electrode at a time tp with respect to a second reference potential at the reference electrode at the time tp,
Xm1 is a third potential at an m-th measurement electrode of the one or more electrodes at the time t1 with respect to the third reference potential at the reference electrode at the time t1, and
Xmp is a fourth potential at the m-th electrode at the time tp with respect to the fourth reference potential at the reference electrode at the time tp,
wherein the first measurement electrode is disposed in a first chamber of the one or more chambers in the culture vessel, . . . , the m-th measurement electrode is disposed in an m-th chamber of the one or more chambers in the culture vessel, and
wherein a first measurement object is disposed in the first chamber, . . . , an m-th measurement object is disposed in the m-th chamber;
(b) obtains a covariance matrix of the first data series (X11, . . . , X1p), . . . , the m-th data series (Xm1, . . . , Xmp);
(c) obtains eigenvalues λ1, . . . , λm of the covariance matrix;
(d) obtains, from the eigenvalues λ1, λ2, . . . , λm, an eigenvector (u1max1 u2max1 . . . ummax1) of a largest eigenvalue λmax1, an eigenvector (u1max2 u2max2 . . . ummax2) of a second largest eigenvalue λmax2, . . . ;
(e) obtains (λmax1/sum)<A, {(λmax1+λmax2)/sum}<A, . . . , {(λmax1+λmax2+ . . . +λmaxi)/sum}<A, {(λmax1+λmax2+ . . . +λmaxi+λmax(i+1))/sum}>A, where
A is a predetermined value, and
the sum is, ∑
              
                α
                =
                1
              
              m
            
            ⁢
            
              
                (
                
                  
                    X
                    ⁢
                    
                      
                    
                    ⁢
                    α
                    ⁢
                    
                      
                    
                    ⁢
                    1
                  
                  -
                  
                    avg
                    ⁢
                    
                      
                    
                    ⁢
                    1
                  
                
                )
              
              ⁢
              
                
                  (
                  
                    
                      X
                      ⁢
                      
                        
                      
                      ⁢
                      α
                      ⁢
                      
                        
                      
                      ⁢
                      1
                    
                    -
                    
                      avg
                      ⁢
                      
                        
                      
                      ⁢
                      1
                    
                  
                  )
                
                /
                m
              
            
          
          +
          …
          +
          
            
              ∑
              
                α
                =
                1
              
              m
            
            ⁢
            
              
                (
                
                  
                    X
                    ⁢
                    
                      
                    
                    ⁢
                    α
                    ⁢
                    
                      
                    
                    ⁢
                    m
                  
                  -
                  avgm
                
                )
              
              ⁢
              
                
                  (
                  
                    
                      X
                      ⁢
                      
                        
                      
                      ⁢
                      α
                      ⁢
                      
                        
                      
                      ⁢
                      m
                    
                    -
                    avgm
                  
                  )
                
                /
                m
              
            
          
        
        ,
      
    
    
      
        (
        9
        ), where

avg1=(X11+ . . . +Xm1)/m, . . . ,avgm=(X1m+ . . . +Xmm)/m, 

wherein an eigenvector of λmax1 is (u1max1 . . . ummax1)T, . . . , an eigenvalue of λmax(i+1) is (u1max(i+1) . . . ummax(i+1))T; and
(f) obtains a plurality of potentials by using the eigenvector of λmax1, . . . , the eigenvector of λmax(i+1).