▁cell ▁for ▁ 9 0 ▁different ▁parameters , ▁including ▁the ▁flu ores c ence ▁intensity ▁of ▁the ▁four ▁flu ores cent ▁markers ▁and ▁ 8 6 ▁different ▁morph ological ▁parameters . ▁Ep ic ▁can ▁also ▁use ▁F IS H ▁and ▁other ▁st aining ▁techniques ▁to ▁look ▁for ▁ab normal ities ▁such ▁as ▁dup lications , ▁delet ions , ▁and ▁re arr ang ements . ▁The ▁imag ing ▁and ▁analysis ▁technology ▁also ▁allows ▁for ▁the ▁coordinates ▁of ▁every ▁cell ▁on ▁a ▁slide ▁to ▁be ▁known ▁so ▁that ▁a ▁single ▁cell ▁can ▁be ▁retrieved ▁from ▁the ▁slide ▁for ▁analysis ▁using ▁next - gener ation ▁sequ encing . ▁A ▁h emat op ath ology - tra ined ▁algorithm ▁incorpor ates ▁numerous ▁morph ology ▁measurements ▁as ▁well ▁as ▁expression ▁from ▁cy to ker atin ▁and ▁CD 4 5 . ▁The ▁algorithm ▁then ▁propos es ▁candidate ▁C TC s ▁that ▁a ▁trained ▁reader ▁confir ms . ▁C ells ▁of ▁interest ▁are ▁analyz ed ▁for ▁relevant ▁phen ot yp ic ▁and ▁gen ot yp ic ▁markers , ▁with ▁regional ▁white ▁blood ▁cells ▁included ▁as ▁negative ▁controls . ▁Ep ic ' s ▁mole cular ▁ass ays ▁measure ▁protein ▁expression ▁and ▁also ▁inter rog ate ▁genom ic ▁ab normal ities ▁in ▁C TC s ▁for ▁more ▁than ▁ 2 0 ▁different ▁cancer ▁types . ▁ ▁M aint rac ▁M aint rac ▁is ▁a ▁di agnostic ▁blood ▁test ▁platform ▁applying ▁micro scop ic ▁in ▁vit ro ▁di agnostic ▁methods ▁to ▁identify ▁rare ▁cells ▁in ▁body ▁flu ids ▁and ▁their ▁mole cular ▁characteristics