Automated analysis of images for molecular quantification in immunohistochemistry
Open accessAbstract
The quantification of the expression of different molecules is a key question in both basic and applied sciences. While protein quantification through molecular techniques leads to the loss of spatial information and resolution, immunohistochemistry is usually associated with time-consuming image analysis and human bias. In addition, the scarce automatic software analysis is often proprietary and expensive and relies on a fixed threshold binarization. Here we describe and share a set of macros ready for automated fluorescence analysis of large batches of fixed tissue samples using FIJI/ImageJ. The quantification of the molecules of interest are based on an automatic threshold analysis of immunofluorescence images to automatically identify the top brightest structures of each image. These macros measure several parameters commonly quantified in basic neuroscience research, such as neuropil density and fluorescence intensity of synaptic puncta, perisomatic innervation and col-localization of different molecules and analysis of the neurochemical phenotype of neuronal subpopulations. In addition, these same macro functions can be easily modified to improve similar analysis of fluorescent probes in human biopsies for diagnostic purposes based on the expression patterns of several molecules.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Images were processed using previously validated macros.
“Images were processed using previously validated macros (Guirado et al., 2018).”
From Perineuronal Nets Regulate the Inhibitory Perisomatic Input onto Parvalbumin Interneurons and γ Activity in the Prefrontal Cortex (2020) · cites this paper as Guirado et al., 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890 · see citing works
ImageJ2: ImageJ for the next generation of scientific image data
Rueden, C., Schindelin, J., Hiner, M., DeZonia, B. E., Walter, A., Arena, E. T., & Eliceiri, K. W. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1934-z · Cited by 5,895 · see citing works
Haralick, R. M., & Shapiro, L. G. (1985) · Computer Vision Graphics and Image Processing · doi:10.1016/s0734-189x(85)90153-7 · Cited by 2,256 · see citing works
Prognostic and predictive factors in breast cancer by immunohistochemical analysis.
Allred, D. C., Harvey, J. M., Berardo, M. D., & Gm, C. (1998) · PubMed · Cited by 2,143 · see citing works
Varghese, F., Bukhari, A. B., Malhotra, R., & De, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096801 · Cited by 1,318 · see citing works
Control of cortical GABA circuitry development by Nrg1 and ErbB4 signalling
Fazzari, P., Paternain, A. V., Valiente, M., Pla, R., Luján, R., Lloyd, K., Lerma, J., Marín, O., & Rico, B. (2010) · Nature · doi:10.1038/nature08928 · Cited by 501 · see citing works
Favuzzi, E., Marques-Smith, A., Deogracias, R., Winterflood, C. M., Sánchez-Aguilera, A., Mantoan, L., Maeso, P., Fernandes, C., Ewers, H., & Rico, B. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.028 · Cited by 397 · see citing works
The necessity of and strategies for improving confidence in the accuracy of western blots
Ghosh, R., Gilda, J. E., & Gomes, A. V. (2014) · Expert Review of Proteomics · doi:10.1586/14789450.2014.939635 · Cited by 309 · see citing works
McCabe, A., Dolled-Filhart, M. P., Camp, R. L., & Rimm, D. L. (2005) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/dji427 · Cited by 292 · see citing works
Progression in Cutaneous Malignant Melanoma Is Associated with Distinct Expression Profiles
Alonso, S. R., Ortiz-Romero, P. L., Pollán, M., Pérez‐Gómez, B., Sánchez, L., Acuña, M. J., Pajares, R., Martínez-Tello, F. J., Hortelano, C. M., Piris, M. A., et al. (2004) · American Journal Of Pathology · doi:10.1016/s0002-9440(10)63110-0 · Cited by 244 · see citing works
Reversal of hippocampal neuronal maturation by serotonergic antidepressants
Kobayashi, K., Ikeda, Y., Sakai, A., Yamasaki, N., Haneda, E., Miyakawa, T., & Suzuki, H. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0912690107 · Cited by 212 · see citing works
Haralick, R. M., & Shapiro, L. G. (1985) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.948400 · Cited by 211 · see citing works
Interpretation and Quantification of Immunostains
Seidal, T., Balaton, A. J., & Battifora, H. A. (2001) · The American Journal of Surgical Pathology · doi:10.1097/00000478-200109000-00013 · Cited by 206 · see citing works
Makretsov, N. A., Huntsman, D. D., Nielsen, T. O., Yorida, E., Peacock, M., Cheang, M. C. U., Dunn, S. E., Hayes, M. M., van de Rijn, M., Bajdik, C. D., et al. (2004) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-04-0429 · Cited by 202 · see citing works
Di Cristo, G., Chattopadhyaya, B., Kuhlman, S. J., Fu, Y., Bélanger, M.-C., Wu, C. Z., Rutishauser, U., Maffei, L., & Huang, Z. J. (2007) · Nature Neuroscience · doi:10.1038/nn2008 · Cited by 201 · see citing works
Dias, P., Chen, B., Dilday, B. R., Palmer, H. E., Hosoi, H., Singh, S., Wu, C., Li, X., Thompson, J., Parham, D. M., et al. (2000) · American Journal Of Pathology · doi:10.1016/s0002-9440(10)64743-8 · Cited by 190 · see citing works
A Robust Automated Measure of Average Antibody Staining in Immunohistochemistry Images
Choudhury, K. R., Yagle, K. J., Swanson, P. E., Krohn, K. A., & Rajendran, J. G. (2009) · Journal of Histochemistry & Cytochemistry · doi:10.1369/jhc.2009.953554 · Cited by 153 · see citing works
Matkowskyj, K. A., Schonfeld, D., & Benya, R. V. (2000) · Journal of Histochemistry & Cytochemistry · doi:10.1177/002215540004800216 · Cited by 152 · see citing works
McCORMICK, D., Yu, C. C. ‐., Hobbs, C., & Hall, P. A. (1993) · Histopathology · doi:10.1111/j.1365-2559.1993.tb00174.x · Cited by 143 · see citing works
Sensitive Immunoassay of Tissue Cell Proteins Procured by Laser Capture Microdissection
Simone, N. L., Remaley, A. T., Charboneau, L., Petricoin, E. F., III, Glickman, J., Emmert‐Buck, M. R., Fleisher, T. A., & Liotta, L. A. (2000) · American Journal Of Pathology · doi:10.1016/s0002-9440(10)64749-9 · Cited by 136 · see citing works
Fedorov, V. V., Schuessler, R. B., Hemphill, M. A., Ambrosi, C. M., Chang, R., Voloshina, A. S., Brown, K. S., Hucker, W. J., & Efimov, I. R. (2009) · Circulation Research · doi:10.1161/circresaha.108.193193 · Cited by 127 · see citing works
Guirado, R., Perez-Rando, M., Sanchez-Matarredona, D., Castrén, E., & Nacher, J. (2014) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145714000406 · Cited by 103 · see citing works
Self-citationCREB-Dependent Regulation of GAD65 Transcription by BDNF/TrkB in Cortical Interneurons
Sánchez-Huertas, C., & Rico, B. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq150 · Cited by 96 · see citing works
Chronic fluoxetine treatment increases the expression of PSA-NCAM in the medial prefrontal cortex
Varea, E., Blasco-Ibáñez, J. M., Gómez-Climent, M. Á., Castillo-Gómez, E., Crespo, C., Martínez-Guijarro, F. J., & Nácher, J. (2007) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301183 · Cited by 96 · see citing works
Self-citationIsoflurane produces antidepressant effects and induces TrkB signaling in rodents
Antila, H., Ryazantseva, M., Popova, D., Sipilä, P., Guirado, R., Kohtala, S., Yalcin, I., Lindholm, J., Vesa, L., Sato, V., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-08166-9 · Cited by 84 · see citing works
Self-citationQuantitative neurite outgrowth measurement based on image segmentation with topological dependence
Yu, W., Lee, H., Hariharan, S., Bu, W.-Y., & Ahmed, S. (2009) · Cytometry Part A · doi:10.1002/cyto.a.20664 · Cited by 76 · see citing works
Cordero, M. I., Rodríguez, J. J., Davies, H. A., Peddie, C. J., Sandi, C., & Stewart, M. G. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.03.046 · Cited by 73 · see citing works
Guirado, R., Sanchez-Matarredona, D., Varea, E., Crespo, C., Blasco‐Ibáñez, J. M., & Nácher, J. (2012) · BMC Neuroscience · doi:10.1186/1471-2202-13-5 · Cited by 70 · see citing works
Self-citationCastillo-Gómez, E., Pérez-Rando, M., Bellés, M., Gilabert‐Juan, J., Llorens, J. V., Carceller, H., Bueno-Fernández, C., García-Mompó, C., Ripoll-Martínez, B., Curto, Y., et al. (2017) · eNeuro · doi:10.1523/eneuro.0034-17.2017 · Cited by 70 · see citing works
Self-citationUnderwood, R. A., Gibran, N. S., Muffley, L. A., Usui, M. L., & Olerud, J. E. (2001) · Journal of Histochemistry & Cytochemistry · doi:10.1177/002215540104901011 · Cited by 56 · see citing works
Huang, X., Chen, S., & Tietz, E. I. (1996) · Journal of Histochemistry & Cytochemistry · doi:10.1177/44.9.8773563 · Cited by 42 · see citing works
Irshad, H., Oh, E.-Y., Schmolze, D. B., Quintana, L. M., Collins, L. C., Tamimi, R. M., & Beck, A. H. (2017) · Scientific Reports · doi:10.1038/srep43286 · Cited by 40 · see citing works
A Quantitative Immunohistochemical Study of the Cellular Response to Crush Injury in Optic Nerve
Podhajsky, R. J., Bidanset, D. J., Caterson, B., & Blight, A. R. (1997) · Experimental Neurology · doi:10.1006/exnr.1996.6354 · Cited by 29 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Crowe, A., & Yue, W. (2019) · BIO-PROTOCOL · doi:10.21769/bioprotoc.3465 · Cited by 774 · see citing works
Carceller, H., Guirado, R., Ripolles-Campos, E., Teruel-Marti, V., & Nacher, J. (2020) · The Journal of Neuroscience · doi:10.1523/jneurosci.0291-20.2020 · Cited by 112 · see citing works
Self-citationImaging Synaptic Density: The Next Holy Grail of Neuroscience?
Serrano, M. E., Kim, E., Petrinovic, M. M., Turkheimer, F., & Cash, D. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.796129 · Cited by 67 · see citing works
Ribarič, S. (2023) · Biomedicines · doi:10.3390/biomedicines11020355 · Cited by 66 · see citing works
Fachel, F. N. S., Prá, M. D., Azambuja, J. H., Endres, M., Bassani, V. L., Koester, L., Henriques, A. T., Barschak, A. G., Teixeira, H. F., & Braganhol, E. (2019) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-019-00727-y · Cited by 37 · see citing works
Kastenschmidt, J. M., Ellefsen, K. L., Mannaa, A. H., Giebel, J. J., Yahia, R., Ayer, R. E., Pham, P., Rios, R., Vetrone, S. A., Mozaffar, T., et al. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.01416 · Cited by 36 · see citing works
García-Mompó, C., Curto, Y., Carceller, H., Gilabert‐Juan, J., Rodriguez-Flores, E., Guirado, R., & Nácher, J. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0853-3 · Cited by 27 · see citing works
Self-citationThe tracts, cytoarchitecture, and neurochemistry of the spinal cord
Tan, S., Faull, R. L. M., & Curtis, M. A. (2022) · The Anatomical Record · doi:10.1002/ar.25079 · Cited by 28 · see citing works
Bíró, L., Miskolczi, C., Szebik, H., Bruzsik, B., Varga, Z. K., Szente, L., Tóth, M., Halász, J., & Mikics, É. (2023) · Neurobiology of Stress · doi:10.1016/j.ynstr.2023.100546 · Cited by 26 · see citing works
Bueno-Fernández, C., Pérez-Rando, M., Alcaide, J., Coviello, S., Sandi, C., Castillo-Gómez, E., & Nácher, J. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100322 · Cited by 23 · see citing works
Self-citationGramuntell, Y., Klimczak, P., Coviello, S., Pérez-Rando, M., & Nácher, J. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.782737 · Cited by 22 · see citing works
TAF1-gene editing alters the morphology and function of the cerebellum and cerebral cortex
Janakiraman, U., Yu, J., Moutal, A., Chinnasamy, D., Boinon, L., Batchelor, S. N., Anandhan, A., Khanna, R., & Nelson, M. A. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104539 · Cited by 18 · see citing works
Analysis of Differential Expression of Synaptic Vesicle Protein 2A in the Adult Rat Brain
Mendoza-Torreblanca, J. G., García-Cruz, M. E., Sánchez-Cruz, I., Gomez-Gonzalez, B., Juárez-Méndez, S., & Gómez-Lira, G. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.09.004 · Cited by 18 · see citing works
PSA Depletion Induces the Differentiation of Immature Neurons in the Piriform Cortex of Adult Mice
Coviello, S., Benedetti, B., Jakubecova, D., Bellés, M., Klimczak, P., Gramuntell, Y., Couillard‐Després, S., & Nácher, J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22115733 · Cited by 18 · see citing works
Nrg1 haploinsufficiency alters inhibitory cortical circuits
Navarro-González, C., Carceller, H., Benito, M., Serra, I., Navarrete, M., Domínguez-Canterla, Y., Rodríguez-Prieto, Á., González-Manteiga, A., & Fazzari, P. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105442 · Cited by 16 · see citing works
Self-citationWang, C., Xu, X., Hodge, S., Chen, E. Y., Hoopes, P. J., Tichauer, K. M., & Samkoe, K. S. (2021) · Molecular Imaging and Biology · doi:10.1007/s11307-021-01642-9 · Cited by 17 · see citing works
Pesarico, A. P., Carceller, H., Guirado, R., Coviello, S., & Nácher, J. (2022) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2022.110512 · Cited by 16 · see citing works
Self-citationRoque, C., Pinto, N., Pato, M. V., & Baltazar, G. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24792 · Cited by 15 · see citing works
Bao, X., Adil, M. M., Muckom, R. J., Zimmermann, J. A., Tran, A., Suhy, N., Xu, Y., Sampayo, R. G., Clark, D. S., & Schaffer, D. V. (2019) · Stem Cells · doi:10.1002/stem.3096 · Cited by 13 · see citing works
Ju, J., Li, X., Pan, Y., Du, J., Yang, X., Men, S., Liu, B., Zhang, Z., Zhong, H., Mai, J., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02596-4 · Cited by 11 · see citing works
Oliver-Gelabert, A., García‐Mendívil, L., Vallejo‐Gil, J. M., Fresneda‐Roldán, P. C., Andelová, K. O., Fañanás‐Mastral, J., Vázquez‐Sancho, M., Matamala‐Adell, M., Sorribas-Berjón, F., Ballester, C., et al. (2020) · Biomolecules · doi:10.3390/biom10091334 · Cited by 12 · see citing works
CCL2 signaling promotes skeletal muscle wasting in non-tumor and breast tumor models
Alissa, N., Fang, W. B., Medrano, M., Bergeron, N., Kozai, Y., Hu, Q., Redding, C., Thyfault, J. P., Hamilton‐Reeves, J. M., Berkland, C. J., et al. (2024) · Disease Models & Mechanisms · doi:10.1242/dmm.050398 · Cited by 11 · see citing works
Adenosine A2A and A3 Receptors as Targets for the Treatment of Hypertensive-Diabetic Nephropathy
Patinha, D., Abreu, C. M., Carvalho, C., Cunha, O. M., Mota, M., Afonso, J., Sousa, T., Albino‐Teixeira, A., Diniz, C., & Morato, M. (2020) · Biomedicines · doi:10.3390/biomedicines8110529 · Cited by 11 · see citing works
Curto, Y., Alcaide, J., Röckle, I., Hildebrandt, H., & Nácher, J. (2019) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2019.00006 · Cited by 11 · see citing works
Role of C5aR1 and C5L2 Receptors in Ischemia-Reperfusion Injury
Arias-Cabrales, C., Rodríguez, E., Gimeno, J., Benito, D., Pérez‐Sáez, M. J., Redondo‐Pachón, D., Buxeda, A., Burballa, C., Crespo, M., Riera, M., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10050974 · Cited by 10 · see citing works
Diabetes downregulates renal adenosine A2A receptors in an experimental model of hypertension
Patinha, D., Carvalho, C., Abreu, C., Cunha, O. M., Mota, M., Afonso, J., Albino‐Teixeira, A., Diniz, C., & Morato, M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217552 · Cited by 9 · see citing works
Erythropoietin restrains the inhibitory potential of interneurons in the mouse hippocampus
Curto, Y., Carceller, H., Klimczak, P., Pérez-Rando, M., Wang, Q., Grewe, K., Kawaguchi, R., Rizzoli, S. O., Geschwind, D. H., Nave, K., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02528-2 · Cited by 8 · see citing works
Self-citationImpact of automated methods for quantitative evaluation of immunostaining: Towards digital pathology
Elie, N., Giffard, F., Blanc‐Fournier, C., Morice, P., Brachet, P.-E., Dutoit, S., Plancoulaine, B., & Poulain, L. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.931035 · Cited by 8 · see citing works
Long term effects of peripubertal stress on the thalamic reticular nucleus of female and male mice
Alcaide, J., Gramuntell, Y., Klimczak, P., Bueno-Fernández, C., Garcia-Verellen, E., Guicciardini, C., Sandi, C., Castillo-Gómez, E., Crespo, C., Pérez-Rando, M., et al. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106642 · Cited by 7 · see citing works
Self-citationRodríguez‐Rodríguez, P., Vieira-Rocha, M. S., Quintana-Villamandos, B., Monedero-Cobeta, I., Prachaney, P., de Pablo, Á. L. L., González, M. C., Morato, M., Diniz, C., & Arribas, S. M. (2021) · Pathophysiology · doi:10.3390/pathophysiology28020018 · Cited by 7 · see citing works
Role of the CXCR4/ALK5/Smad3 Signaling Pathway in Cancer-Induced Bone Pain
Peng, C., Chen, X.-T., Xu, H., Chen, L., & Shen, W. (2020) · Journal of Pain Research · doi:10.2147/jpr.s260508 · Cited by 6 · see citing works
Sousa-Oliveira, A., Brandão, A. T. S. C., Vojtek, M., Gonçalves‐Monteiro, S., Sousa, J. B., & Diniz, C. (2018) · Histochemistry and Cell Biology · doi:10.1007/s00418-018-1743-0 · Cited by 6 · see citing works
López‐Hidalgo, R., Ballestín, R., Lorenzo, L., Sánchez-Martí, S., Blasco‐Ibáñez, J. M., Crespo, C., Nácher, J., & Varea, E. (2024) · Neurochemistry International · doi:10.1016/j.neuint.2024.105679 · Cited by 4 · see citing works
Cardoen, B., Wong, T., Alan, P., Lee, S., Matsubara, J. A., Nabi, I. R., & Hamarneh, G. (2022) · PLoS ONE · doi:10.1371/journal.pone.0276726 · Cited by 5 · see citing works
Deafening noise down-regulates dopamine transmission in the hub of the central auditory system
Wilson, P., & Apawu, A. K. (2022) · Neurochemistry International · doi:10.1016/j.neuint.2022.105382 · Cited by 4 · see citing works
Bravo, L., Mariscal, P., Llorca-Torralba, M., López-Cepero, J. M., Nácher, J., & Berrocoso, E. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.918321 · Cited by 4 · see citing works
Carceller, H., Guirado, R., & Nácher, J. (2019) · The Journal of Comparative Neurology · doi:10.1002/cne.24832 · Cited by 4 · see citing works
Self-citationYan, H., Deng, X., Wang, Y., Wu, S., Du, J., Yu, M., Liu, B., Wang, H., Pan, Y., Zhang, Z., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.28.591481 · Cited by 4 · see citing works
Yohan, Irkham, Kurnia, I., Fransisca, N., Adisyahputra, & Hartati, Y. W. (2026) · Sensing and Bio-Sensing Research · doi:10.1016/j.sbsr.2026.100970 · Cited by 3 · see citing works
Lejeune, M., Plancoulaine, B., Elie, N., Bosch, R., Fontoura, L., Villasante, I., Korzyńska, A., Navarro, A. G., Sauras-Colón, E., & López, C. (2021) · Histochemistry and Cell Biology · doi:10.1007/s00418-021-02022-8 · Cited by 3 · see citing works
Advancing Biological Research: New Automated Analysis of Immunofluorescence Signals
Salzano, F., Martella, N., Pareschi, R., & Segatto, M. (2024) · Applied Sciences · doi:10.3390/app14072809 · Cited by 3 · see citing works
Le, N. N., Dinh, D. M. T., Lam, P. H., Le, A. V. T., Le, M. T., Pham, D. M., Dang, D. M. T., & Dang, C. M. (2023) · Advances in Natural Sciences Nanoscience and Nanotechnology · doi:10.1088/2043-6262/acc459 · Cited by 3 · see citing works
Sun, J., Zhang, C., Zhong, J., & Zhou, B. (2026) · Cancer Letters · doi:10.1016/j.canlet.2026.218460 · Cited by 2 · see citing works
Baidoe‐Ansah, D., Carceller, H., Mirzapourdelavar, H., Pérez-Rando, M., Strackeljan, L., Garcia-Vazquez, B., Seidenbecher, C. I., Kaushik, R., Nácher, J., & Dityatev, A. E. (2026) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-026-01762-2 · Cited by 2 · see citing works
Self-citationBagnall-Moreau, C., Strohl, J. J., Spielman, B. P., Cruz, C., Huerta, P. T., & Brimberg, L. (2025) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2025.106192 · Cited by 2 · see citing works
Combined BRCA2 and MAGEC3 Expression Predict Outcome in Advanced Ovarian Cancers
Omole, E. B., Aijaz, I., Ellegate, J., Isenhart, E., Desouki, M. M., Mastri, M., Humphrey, K. M., Dougherty, E. M., Rosario, S. R., Nastiuk, K. L., et al. (2022) · Cancers · doi:10.3390/cancers14194724 · Cited by 2 · see citing works
Chung, Y., Shin, S., Shim, H., Sohn, J. Y., Lee, D.-E., Lee, H., Eom, H., Kim, K. G., & Kong, S. (2020) · Annals of Laboratory Medicine · doi:10.3343/alm.2020.40.4.312 · Cited by 2 · see citing works
Pérez-Caballero, L., Carceller, H., Nácher, J., Teruel‐Martí, V., Pujades, E., Casañ-Pastor, N., & Berrocoso, E. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10174003 · Cited by 2 · see citing works
Self-citationImmunohistochemistry as a detection tool for ion channels involved in dental pain signaling
Ramli, R. B., Nafi, S. N. M., Tarmidzi, N. A. A., Hasbullah, N., & Ghani, N. (2022) · The Saudi Dental Journal · doi:10.1016/j.sdentj.2022.02.004 · Cited by 2 · see citing works
Ram, A., Matuszewska, K., McKenna, C., Petrik, J., & Oblak, M. L. (2024) · Frontiers in Veterinary Science · doi:10.3389/fvets.2024.1392504 · Cited by 1 · see citing works
Zhang, H., Zhu, J., He, H., Li, B., Wang, H., Chen, L., & Ni, Q. (2025) · Journal of Orthopaedic Surgery and Research · doi:10.1186/s13018-025-06443-2 · Cited by 1 · see citing works
Stilwell, G., & Agudelo, A. (2022) · Journal of Visualized Experiments · doi:10.3791/62844-v · Cited by 1 · see citing works
A Clonogenic Assay to Quantify Melanoma Micrometastases in Pulmonary Tissue
Mattei, F., Andreone, S., & Schiavoni, G. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1205-7_28 · Cited by 2 · see citing works
Wilson, G. D., Arden, J. D., Quinn, T. J., Wilson, T. G., Hanna, A., Barker, K., Deraniyagala, R. L., Baschnagel, A. M., & Wilson, G. D. (2020) · Clinical Oncology and Research · doi:10.31487/j.cor.2020.06.03 · Cited by 1 · see citing works
Thomas, M. H., Karout, M., Rodriguez, B. P., Gui, Y., Jaeger, C., Michelucci, A., Kollmus, H., Schughart, K., Coowar, D., Balling, R., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.30.404293 · Cited by 1 · see citing works
Stilwell, G., & Agudelo, A. (2022) · Journal of Visualized Experiments · doi:10.3791/62844
Lyu, X., Li, M., Li, M., Zhang, P. L., Wei, W., Werth, V. P., & Liu, M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.23.572573
Suhail, S. M., Isham, I. M., Farooq, M., Azhar, M., Ali, A., Mahmoud, M. E., Ghaffar, A., Herath-Mudiyanselage, H., Cork, S. C., Gupta, A. V., et al. (2025) · Virology · doi:10.1016/j.virol.2025.110691
Sánchez-Moreno, B., Gramuntell, Y., Klimczak, P., Backer, E. D., Nácher, J., & Gilabert‐Juan, J. (2025) · Research Square · doi:10.21203/rs.3.rs-7657662/v1
Gramuntell, Y., Klimzack, P., Curto, Y., Alcaide, J., Garcia-Verellen, E., Pérez-Rando, M., Nave, K., Ehrenreich, H., & Nácher, J. (2026) · Neuropharmacology · doi:10.1016/j.neuropharm.2026.111025
Scott, J. T., Fin, S., Caccavano, A., Walker, M., Szczupak, D., Jontz, J., Homman‐Ludiye, J., Kwan, W. C., Marche, K., Fishell, G., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.23.740162
Lee, J., Lee, W., & Kosodo, Y. (2026) · Advances in Biological Regulation · doi:10.1016/j.jbior.2026.101173
Sánchez-Moreno, B., Gramuntell, Y., Klimczak, P., Bäcker, E., Nácher, J., & Gilabert‐Juan, J. (2026) · The Journal of Comparative Neurology · doi:10.1002/cne.70217
- Authors
- Guirado, R., Carceller, H., Castillo-Gómez, E., Castrén, E., & Nacher, J.
- Affiliations
- Universitat de València (ES)
- Universitat Jaume I (ES)
- Venue
- Heliyon
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 4
- Issue
- 6
- Pages
- e00669
- ISSN
- 2405-8440 (ISSN-L)
- PMC
- PMC6039854
- OpenAlex
- W2810608517
- Cited by
- 63
- References
- 33
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 8 · 2023: 4 · 2022: 11 · 2021: 11 · 2020: 8 · 2019: 9 · 2018: 1
- FWCI
- 3.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Heliyon (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Repositori UJI (Universitat Jaume I) (publishedVersion, cc-by-nc-nd)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Työväentutkimus Vuosikirja (submittedVersion)
- Funders
- Spanish Ministry of Science (#BES, 2007–15757)
- ERC Advanced grant (#322742-iPlasticity)
- Academy of Finland (#257486)
- Spanish Ministry of Economy and Competitiveness (SAF2015-68436-R)
- Juan de la Cierva program (IJCI-2016-27758)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Physical Sciences › Engineering › Media Technology › Image Processing Techniques and Applications
- Keywords
- automated image analysis, immunohistochemistry, immunofluorescence, automatic thresholding, colocalization, neuronal subpopulations, neurochemical phenotype, fluorescence intensity measurement
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review