J Am Med Inform Assoc - Registration of whole immunohistochemical slide images: an efficient way to characterize biomarker colocalization.

Tópicos

{ imag(1057) registr(996) error(939) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ model(2220) cell(1177) simul(1124) }
{ extract(1171) text(1153) clinic(932) }
{ method(1219) similar(1157) match(930) }
{ assess(1506) score(1403) qualiti(1306) }
{ analysi(2126) use(1163) compon(1037) }
{ method(2212) result(1239) propos(1039) }
{ learn(2355) train(1041) set(1003) }
{ control(1307) perform(991) simul(935) }
{ visual(1396) interact(850) tool(830) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ motion(1329) object(1292) video(1091) }
{ data(3963) clinic(1234) research(1004) }
{ risk(3053) factor(974) diseas(938) }
{ research(1085) discuss(1038) issu(1018) }
{ signal(2180) analysi(812) frequenc(800) }
{ structur(1116) can(940) graph(676) }
{ drug(1928) target(777) effect(648) }
{ network(2748) neural(1063) input(814) }
{ algorithm(1844) comput(1787) effici(935) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ perform(1367) use(1326) method(1137) }
{ age(1611) year(1155) adult(843) }
{ sampl(1606) size(1419) use(1276) }
{ intervent(3218) particip(2042) group(1664) }
{ cancer(2502) breast(956) screen(824) }
{ implement(1333) system(1263) develop(1122) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
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{ data(2317) use(1299) case(1017) }
{ medic(1828) order(1363) alert(1069) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ first(2504) two(1366) second(1323) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ health(1844) social(1437) communiti(874) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
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{ detect(2391) sensit(1101) algorithm(908) }

Resumo

CKGROUND AND OBJECTIVE: Extracting accurate information from complex biological processes involved in diseases, such as cancers, requires the simultaneous targeting of multiple proteins and locating their respective expression in tissue samples. This information can be collected by imaging and registering adjacent sections from the same tissue sample and stained by immunohistochemistry (IHC). Registration accuracy should be on the scale of a few cells to enable protein colocalization to be assessed.METHODS: We propose a simple and efficient method based on the open-source elastix framework to register virtual slides of adjacent sections from the same tissue sample. We characterize registration accuracies for different types of tissue and IHC staining.RESULTS: Our results indicate that this technique is suitable for the evaluation of the colocalization of biomarkers on the scale of a few cells. We also show that using this technique in conjunction with a sequential IHC labeling and erasing technique offers improved registration accuracies.DISCUSSION: Brightfield IHC enables to address the problem of large series of tissue samples, which are usually required in clinical research. However, this approach, which is simple at the tissue processing level, requires challenging image analysis processes, such as accurate registration, to view and extract the protein colocalization information.CONCLUSIONS: The method proposed in this work enables accurate registration (on the scale of a few cells) of virtual slides of adjacent tissue sections on which the expression of different proteins is evidenced by standard IHC. Furthermore, combining our method with a sequential labeling and erasing technique enables cell-scale colocalization.

Resumo Limpo

ckground object extract accur inform complex biolog process involv diseas cancer requir simultan target multipl protein locat respect express tissu sampl inform can collect imag regist adjac section tissu sampl stain immunohistochemistri ihc registr accuraci scale cell enabl protein coloc assessedmethod propos simpl effici method base opensourc elastix framework regist virtual slide adjac section tissu sampl character registr accuraci differ type tissu ihc stainingresult result indic techniqu suitabl evalu coloc biomark scale cell also show use techniqu conjunct sequenti ihc label eras techniqu offer improv registr accuraciesdiscuss brightfield ihc enabl address problem larg seri tissu sampl usual requir clinic research howev approach simpl tissu process level requir challeng imag analysi process accur registr view extract protein coloc informationconclus method propos work enabl accur registr scale cell virtual slide adjac tissu section express differ protein evidenc standard ihc furthermor combin method sequenti label eras techniqu enabl cellscal coloc

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