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Update on stereology for light microscopy
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  • 作者:Stefano Geuna (1) (3)
    Celia Herrera-Rincon (2)

    1. Neuroscience Institute of the Cavalieri Ottolenghi Foundation & Department of Clinical and Biological Sciences
    ; University of Turin ; Turin ; Italy
    3. Department of Clinical and Biological Sciences
    ; University of Turin ; Regione Gonzole 10 ; 10043 ; Orbassano ; TO ; Italy
    2. Neurocomputing and Neurorobotics Research Group
    ; Department of Applied Mathematics (Biomathematics) ; Faculty of Biology ; Universidad Complutense de Madrid ; Madrid ; Spain
  • 关键词:Morphometry ; Total number ; Cell size ; Fiber length ; Tissue section thickness ; Disector
  • 刊名:Cell and Tissue Research
  • 出版年:2015
  • 出版时间:April 2015
  • 年:2015
  • 卷:360
  • 期:1
  • 页码:5-12
  • 全文大小:1,191 KB
  • 参考文献:1. Abercrombie, M (1946) Estimation of nuclear population from microtome sections. Anat Rec 94: pp. 239-247 CrossRef
    2. Benes, FM, Lange, N (2001) Two-dimensional versus three-dimensional cell counting: a practical perspective. Trends Neurosci 24: pp. 11-17 CrossRef
    3. Cassel, CM, Sarndal, CE, Wretman, JH (1993) Foundations of inference in sampling. Krieger, Malabar
    4. Coggeshall, RE (1992) A consideration of neural counting methods. Trends Neurosci 15: pp. 9-13 CrossRef
    5. Coggeshall, RE, Lekan, HA (1996) Methods for determining numbers of cells and synapses: a case for more uniform standards of review. J Comp Neurol 364: pp. 6-15 CrossRef
    6. Cruz Orive, LM (1976) Correction of stereological parameters from biased samples on nucleated particle phases. II. Specific surface area. J Microsc 106: pp. 19-32 CrossRef
    7. Cruz Orive, LM (1976) Correction of stereological parameters from biased samples on nucleated particle phases. I. Nuclear volume fraction. J Microsc 106: pp. 1-18 CrossRef
    8. Dolapchieva, S, Eggers, R, Kuhnel, W (2000) Automatic image analysis of the postnatal growth of axons and myelin sheaths in the tibial and peroneal nerves of the rabbit. Ann Anat 182: pp. 133-142 CrossRef
    9. Farel, PB (2002) Trust, but verify: the necessity of empirical verification in quantitative neurobiology. Anat Rec 269: pp. 157-161 CrossRef
    10. Gardella, D, Hatton, WJ, Rind, HB, Rosen, GD, Bartheld, CS (2003) Differential tissue shrinkage and compression in the z-axis: implications for optical disector counting in vibratome, plastic and cryosections. J Neurosci Methods 124: pp. 45-59 CrossRef
    11. Gardi, JE, Nyengaard, JR, Gundersen, HJ (2008) The proportionator: unbiased stereological estimation using biased automatic image analysis and non-uniform probability proportional to size sampling. Comput Biol Med 38: pp. 313-328 CrossRef
    12. Geuna, S (2000) Appreciating the difference between design-based and model-based sampling strategies in quantitative morphology of the nervous system. J Comp Neurol 427: pp. 333-339 CrossRef
    13. Geuna, S (2005) The revolution of counting 鈥渢ops鈥? two decades of the disector principle in morphological research. Microsc Res Tech 66: pp. 270-274 CrossRef
    14. Guillery, RW (2002) On counting and counting errors. J Comp Neurol 447: pp. 1-7 CrossRef
    15. Guillery, RV, Herrup, K (1997) Quantification without pontification: choosing a method for counting objects in sectioned tissues. J Comp Neurol 386: pp. 2-7 CrossRef
    16. Gundersen, HJG, Bendtsen, TF, Korbo, L, Marcussen, N, M酶ller, A, Nielsen, K, Nyengaard, JR, Pakkenberg, B, S酶rensen, FB, Vesterby, A, West, MJ (1988) Some new, simple and efficient stereological methods and their use in pathological research. APMIS 96: pp. 379-394 CrossRef
    17. Gundersen, HJG, Bagger, P, Bendtsen, TF, Evans, SM, Korbo, L, Marcussen, N, M酶ller, A, Nielsen, K, Nyengaard, JR, Pakkenberg, B, S酶rensen, FB, Vesterby, A, West, MJ (1988) The new stereological tools: disector, fractionator, nucleator and point sampled intercepts and their use in pathological research and diagnosis. APMIS 96: pp. 857-881 CrossRef
    18. Gundersen, HJG, Jensen, EBV, Kieu, K, Nielsen, J (1999) The efficiency of systematic sampling in stereology, reconsidered. J Microsc 193: pp. 199-211 CrossRef
    19. Hansen, LV, Nyengaard, JR, Andersen, JB, Jensen, EB (2011) The semi-automatic nucleator. J Microsc 242: pp. 206-215 CrossRef
    20. Hatton, WJ, Bartheld, CS (1999) Analysis of cell death in the trochlear nucleus of the chick embryo: calibration of the optical disector counting method reveals systematic bias. J Comp Neurol 409: pp. 169-186 CrossRef
    21. Hedreen, JC (1998) What was wrong with the Abercrombie method and empirical cell counting methods? A review. Anat Rec 250: pp. 373-380 CrossRef
    22. Herculano-Houzel S, von Bartheld CS, Miller DJ, Kaas J (2015) How to count cells: the advantages and disadvantages 1 of the isotropic fractionator compared with stereology. Cell Tissue Res. doi:10.1007/s00441-015-2127-6
    23. Hyman, BT, Gomez-Isla, T (1994) Alzheimer鈥檚 disease is a laminar, regional, and neural system specific disease, not a global brain disease. Neurobiol Aging 15: pp. 353-354 CrossRef
    24. Hyman, BT, Gomez-Isla, T, Irizarry, MC (1998) Stereology: a practical primer for neuropathology. J Neuropathol Exp Neurol 57: pp. 305-310 CrossRef
    25. Jensen, EBV (2000) On the variance of local stereological volume estimators. Image Anal Stereol 19: pp. 15-18 CrossRef
    26. Johnson, IP (2001) Rapid estimates of neuron number in the confocal microscope combined with in situ hybridisation and immunocytochemistry. Brain Res Brain Res Protoc 8: pp. 113-125 CrossRef
    27. Kaplan, S, Geuna, S, Ronchi, G, Ulkay, MB, Bartheld, CS (2010) Calibration of the stereological estimation of the number of myelinated axons in the rat sciatic nerve: a multicenter study. J Neurosci Methods 187: pp. 90-99 CrossRef
    28. Kristiansen, SL, Nyengaard, JR (2012) Digital stereology in neuropathology. APMIS 120: pp. 327-340 CrossRef
    29. Kub铆nov谩 L Jan谩膷ek J (2015) Confocal stereology - efficient tool for measurement of microscopic Structures. Cell Tissue Res. doi:10.1007/s00441-015-2138-3
    30. Kubinova, L, Janacek, J (2001) Confocal microscopy and stereology: estimating volume, number, surface area and length by virtual test probes applied to three-dimensional images. Microsc Res Tech 53: pp. 425-435 CrossRef
    31. Mura, A, Murphy, CA, Feldon, J, Jongen-Relo, AL (2004) The use of stereological counting methods to assess immediate early gene immunoreactivity. Brain Res 1009: pp. 120-128 CrossRef
    32. Popken, GJ, Farel, PB (1996) Reliability and validity of the physical disector method for estimation neuron number. J Neurobiol 31: pp. 166-174 CrossRef
    33. Popken GJ, Farel PB (1997) Sensory neuron number in neonatal and adult rats estimated by means of stereologic and profile-based methods. J Comp Neurol 386:8鈥?5
    34. Pover, CN, Coggeshall, RE (1991) Verification of the disector method for counting neurons, with comments on the empirical method. Anat Rec 231: pp. 573-578 CrossRef
    35. Rasmusson, A, Hahn, U, Larsen, JO, Gundersen, HJ, Jensen, EB, Nyengaard, JR (2013) The spatial rotator. J Microsc 250: pp. 88-100 CrossRef
    36. Saper, CB (1999) Unbiased stereology: three-dimensional measurement in microscopy. Trends Neurosci 22: pp. 94-95 CrossRef
    37. Schmitz, C, Hof, PR (2000) Recommendations for straightforward and rigorous methods of counting neurons based on a computer simulation approach. J Chem Neuroanat 20: pp. 93-114 CrossRef
    38. Schmitz, C, Hof, PR (2005) Design-based stereology in neuroscience. Neuroscience 130: pp. 813-831 CrossRef
    39. Schmitz, C, Eastwood, BS, Tappan, SJ, Glaser, JR, Peterson, DA, Hof, PR (2014) Current automated 3D cell detection methods are not a suitable replacement for manual stereologic cell counting. Front Neuroanat 8: pp. 27 CrossRef
    40. Smith, TMF (1994) Sample surveys 1975鈥?990: an age of reconciliation?. Int Stat Rev 62: pp. 5-34 CrossRef
    41. Sterio, DC (1984) The unbiased estimation of number and size of arbitrary particles using the disector. J Microsc 134: pp. 127-136 CrossRef
    42. Tandrup, T, Gundersen, HJ, Jensen, EB (1997) The optical rotator. J Microsc 186: pp. 108-120 CrossRef
    43. Bartheld, CS (2002) Counting particles in tissue sections: choices of methods and importance of calibration to minimize bias. Histol Histopathol 17: pp. 639-648
    44. Wall酶e, S, Pakkenberg, B, Fabricius, K (2014) Stereological estimation of total cell numbers in the human cerebral and cerebellar cortex. Front Hum Neurosci 8: pp. 508
    45. West, MJ (1993) New stereological methods for counting neurons. Neurobiol Aging 14: pp. 275-286 CrossRef
    46. West, MJ (1999) Stereological methods for estimating the total number of neurons and synapses: issues of precision and bias. Trends Neurosci 22: pp. 51-61 CrossRef
    47. West, MJ, Slomanka, L (2001) 2-D versus 3-D cell counting: a debate. What is an optical disector?. Trends Neurosci 24: pp. 374 CrossRef
    48. Williams, RW, Rakic, P (1988) Three-dimensional counting: an accurate and direct method to estimate numbers of cells in sectioned material. J Comp Neurol 278: pp. 344-252 CrossRef
  • 刊物类别:Biomedical and Life Sciences
  • 刊物主题:Biomedicine
    Human Genetics
    Proteomics
    Molecular Medicine
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1432-0878
文摘
The quantitative investigation of images taken from light microscopy observation is one of the pillars of biological and biomedical investigation. The main objective is the count of objects, usually cells. In addition, the measurement of several morphological parameters, such as the diameter of cells, the length of vessels, etc., can also be important for the quantitative assessment of the features of a tissue. Whereas counting and measuring histological elements may appear easy, especially today with the availability of dedicated software, in fact it is not, since what we can count and measure on light microscopy images are not the true histological elements but actually profiles of them. Obviously, the number and size of profiles of an object do not correspond to the object number and size and thus significant mistakes can be made in the interpretation of the quantitative data obtained from profiles. To cope with this problem, over the last decades, a number of design-based stereological tools have been developed in order to obtain unbiased and reliable quantitative estimates of cell and tissue elements that originate from light microscopy images. This paper reviews the basic principles of the stereological tools from the first disector applications through some of the most recently devised methods.

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