CN102590053A - Ocean plankton size-spectra in-situ detection instrument - Google Patents

Ocean plankton size-spectra in-situ detection instrument Download PDF

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Publication number
CN102590053A
CN102590053A CN2012100545606A CN201210054560A CN102590053A CN 102590053 A CN102590053 A CN 102590053A CN 2012100545606 A CN2012100545606 A CN 2012100545606A CN 201210054560 A CN201210054560 A CN 201210054560A CN 102590053 A CN102590053 A CN 102590053A
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spectroscope
path system
peristaltic pump
fluorescence
flow chamber
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骆庭伟
焦念志
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Xiamen University
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Xiamen University
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Abstract

The invention relates to an ocean plankton size-spectra in-situ detection instrument, which relates to ocean plankton detection equipment. The ocean plankton size-spectra detection instrument is provided with a flow-path system, an image system, an optical-path system and a control circuit; the flow-path system is provided with a sample pond, a flow chamber and a peristaltic pump; the image system is provided with a light emitting diode (LED) shooting light source, an object lens, a second spectroscope, an ocular and a charged coupled device (CCD) camera; the optical-path system is provided with a laser, a light beam shaping device, a first spectroscope, a third spectroscope, a filter plate, a first fluorescent detector, a filter plate and a second fluorescent detector; and the control circuit is connected with the peristaltic pump in the flow-path system, the LED shooting light source and the CCD camera in the image system and the first and the second fluorescent detectors in the optical-path system.

Description

Halonereid particle diameter spectrum in-situs tester
Technical field
The present invention relates to the checkout equipment of a kind of halonereid, especially relate to a kind of halonereid particle diameter spectrum in-situs tester.
Background technology
Each species in the marine ecosystems form complicated food web through the relation of ingesting; Utilize traditional method to be difficult to the whole ecological system is described (Zhou Linbin accurately; Tan Yehui, yellow good citizen, etc. hydrobiont particle diameter spectrum/biomass spectrum progress [J]. Acta Ecologica Sinica; 2010, (12): 3319-3333; Wang Xingang, Sun Song. the application [J] of particle diameter spectral theory in marine ecology research. Marine Sciences, 2002, (4): 36-39).The particle diameter spectral theory is classified planktonic organism according to size, in same curve, set up the simple corresponding relation between planktonic organism biomass and the size thereof, has simplified food web, becomes the important means of describing marine ecosystems.The optical microscope method is a most frequently used technological means in the research of particle diameter spectrum, and it identifies planktonic organism through optical microscope, the pedestrian worker that goes forward side by side counting, and then make up halonereid particle diameter spectrum.Though optical microscope method error is little, yet, be difficult to form continuous particle diameter spectrum because it is wasted time and energy; Be not suitable for the planktonic on-the-spot (Wu Chengye of detection; Jiao Nianzhi. halonereid particle diameter spectral analysis technology [J]. hi-tech communication, 2005,15 (04): 71-74).Also therefore; Receive the restriction of technological means; The particle diameter spectral theory stayed cool in considerable time, first Coulter-counter was applied to research (Sheldon R W, Parsons T R.A continuous size spectrum for particulate matter in the sea [J] the .Journal of the Fisheries Research Board of Canada of particulate matter in the seawater of Sa Niqi gulf up to Sheldon in 1967 and Parsons; 1967; 24:909-915), the particle diameter spectral theory just obtains people's attention, and becomes the focus of marine ecology research gradually.Yet Coulter-counter is to measure grain size according to the resistance variations that particle causes in electrolytic solution, can't differentiate planktonic organism and abiotic particle, and this has also limited its application in marine ecosystems research.
Recently study Flow Cytometry and micro-imaging technique are combined, be the basis, make up particle diameter compositions and the distributed number relation of halonereid, showed the application prospect of streamed image technology in the particle diameter spectral theory is studied with the digitalized image technology.Yet existing instrument and equipment is like streamed image and micro imaging system (FlowCAM; Fluid-Imaging Technologies; Inc., only be that image information and fluorescence information are preserved USA), need manual work that image information is discerned; Follow-up data work of treatment amount is big, can't on-the-spot obtain the particle diameter spectrum information of marine ecosystems; Meanwhile, the particle diameter error of calculation is big, only is to convert through elemental area to obtain size, has had a strong impact on the accuracy of particle diameter spectrum information.
Summary of the invention
The objective of the invention is to above-mentioned shortcoming, a kind of halonereid particle diameter spectrum in-situs tester is provided to prior art.
The present invention is provided with flow path system, picture system, light path system and control circuit; Said flow path system is provided with sample cell, flow chamber and peristaltic pump; Said sample cell, flow chamber and peristaltic pump are arranged in order; Said sample cell, flow chamber and peristaltic pump are connected through pipeline each other; Said peristaltic pump is connected with control circuit through serial ports, accepts the instruction of system software, realizes the automated analysis of instrument;
Said picture system is provided with LED shooting light source, object lens, the 2nd spectroscope, eyepiece and CCD camera, and said LED shooting light source is that picture system provides required shooting light source, in picture system; Phytoplankton cells is under the driving of peristaltic pump; Arrive flow chamber, in flow chamber, phytoplankton cells is by the LED light source irradiation of making a video recording; Its image information is gathered by the CCD camera through object lens, the 2nd spectroscope and eyepiece; And amplify through the optics amplification of object lens and eyepiece and the number of CCD camera, the phytoplankton cells image information has also obtained suitable amplification, satisfies the requirement of image recognition;
Said light path system is provided with laser instrument, light beam shaper, the 1st spectroscope, the 3rd spectroscope, optical filter, the 1st fluorescence detector, optical filter and the 2nd fluorescence detector; The laser that said laser instrument sends; Through the integer of light beam shaper, form the hot spot of flat ellipse, under the 1st spectroscopical refraction; Shine the phytoplankton cells of the flow chamber of flowing through through object lens; Excite pigments such as the interior chlorophyll of phytoplankton cells body, rhodophyll to send fluorescence, the fluorescence signal that phytoplankton cells sends arrives the 3rd spectroscope through object lens, the 1st spectroscope, the 2nd spectroscope successively, under the 3rd spectroscopical effect; Part fluorescence signal arrives the 1st fluorescence detector through optical filter, and another part fluorescence signal arrives the 2nd fluorescence detector through optical filter;
Through the 1st fluorescence detector and the detected fluorescence signal of the 2nd fluorescence detector, the phytoplankton cells quantity of the flow chamber that can obtain to flow through and pigment thereof are formed.
Peristaltic pump in said control circuit and the flow path system, the shooting of the LED in picture system light source are connected with the 2nd fluorescence detector with the 1st fluorescence detector in CCD camera and the light path system; Control circuit is not only controlled the work of peristaltic pump; And in IMAQ and the light path system of control picture system the 1st fluorescence detector and the 2nd fluorescence detector for the collection of fluorescence signal; Meanwhile; Image information is corresponding one by one with fluorescence signal, on circuit level, realize the coupling of flow cytometry technology and micro-imaging analytical technology.
System software comprises instrument parameter control, image information collection and storage, fluorescence signal collection and four big functional modules such as memory module and data analysis module then between instrument and the technician good interactive interface being provided.Wherein the instrument parameter control function module mainly is responsible for the setting of instrument parameter, and flow path system, picture system, light path system and control circuit carry out mutual and control; IMAQ and memory function module mainly be responsible for image information in the picture system collection, show and store, and image information is transferred to expert's identification database discerns and handle; Fluorescence is gathered collection, demonstration and the storage of mainly being responsible for fluorescence signal in the light path system with memory function module, and combines with expert's identification database, and the information of fluorescence aspect is provided for the accurate identification of expert's identification database; The data analysis function module mainly is responsible for the information of integral image system, light path system and expert's identification database, planktonic organism particle diameter spectrum is analyzed, and analysis result is showed and storage.
The function of expert's identification database mainly is that the image information of picture system collection is discerned; Detect planktonic organism image information wherein; On this basis; Extract its characteristic, and combine the fluorescence information of light path system collection that planktonic organism is discerned, obtain the abundance of each monoid of planktonic organism.Meanwhile,, make up planktonic three-dimensional model, obtain planktonic organism particle diameter information and volume information accurately according to planktonic characteristics of image.On this basis, according to planktonic particle diameter information, gt and volume information, make up planktonic particle diameter spectrum.
Compared with present technology, the present invention has following outstanding advantage:
The present invention is coupled together Flow Cytometry and micro-imaging technique, in conjunction with computer picture recognition, makes up the three-dimensional model of halonereid, can realize the on-site real-time of halonereid particle diameter spectrum is detected.
Compare with the traditional optical microscopy, the flow path system that the present invention utilizes sample cell, flow chamber and peristaltic pump to make up can be realized the on-the-spot continuous detecting to sample; And the fluorescence signal of Flow Cytometry in conjunction with the identification of planktonic organism characteristics of image, can detect phytoplankton cells automatically, saves the artificial process of seeking phytoplankton cells, and this is under the lower situation of planktonic organism concentration, and advantage is more obvious; And the application of expert's identification database; More making the present invention need not professional knowledge supports; Can make up halonereid particle diameter spectrum automatically, save the numerous and diverse late time data of conventional optical microscope technology and handled, realize that the on-site real-time of halonereid particle diameter spectrum detects.
Can't distinguish planktonic organism and abiotic particle than the Coulter-counter method of classics; The present invention has two big technology to distinguish planktonic organism and abiotic particle: on the one hand; The present invention can gather planktonic fluorescence signal; Utilize the difference on the fluorescence signal, distinguish planktonic organism and abiotic particle; On the other hand, the present invention can gather planktonic image information, can distinguish planktonic organism and abiotic particle through the analysis image characteristic.Meanwhile, the homogeneity of the sample of valuing especially for the Coulter-counter method, the present invention can utilize the method for biostatistics, and the data that have a statistical significance through collection are guaranteed the reliability and the accuracy of data.
And with recently streamed image and micro imaging system FlowCAM relatively; The present invention has combined expert's identification database; Can in data acquisition, image information and fluorescence signal be analyzed, need not the particle diameter spectrum information that subsequent treatment can obtain halonereid.And the structure of three-dimensional model can obtain planktonic organism particle diameter information accurately to the full extent, guarantees the accuracy and the reliability of halonereid particle diameter spectrum information.
Description of drawings
Fig. 1 is that the structure of the embodiment of the invention is formed synoptic diagram.In Fig. 1, respectively be labeled as: 1 sample cell; 2 flow chambers; 3 peristaltic pumps; The 4LED light source of making a video recording; 5 object lens; 6 the 1st spectroscopes; 7 the 2nd spectroscopes; 8 the 3rd spectroscopes; 9 optical filters; 10 the 1st fluorescence detectors; 11 light beam shapers; 12 shooting eyepieces; 13 optical filters; 14 laser instruments; The 15CCD camera; 16 the 2nd fluorescent probes.
Fig. 2 is the planktonic organism volume-based model.
Embodiment
Referring to Fig. 1, the embodiment of the invention is provided with flow path system, picture system, light path system and control circuit; Said flow path system is provided with sample cell 1, flow chamber 2 and peristaltic pump 3; Said sample cell 1, flow chamber 2 and peristaltic pump 3 are arranged in order; Said sample cell 1, flow chamber 2 are connected through pipeline with peristaltic pump 3 each other; Said peristaltic pump 3 is connected with control circuit through serial ports, accepts the instruction of system software, realizes the automated analysis of instrument.
Said picture system is provided with LED shooting light source 4, object lens the 5, the 2nd spectroscope 7, eyepiece 12 and CCD camera 15, and said LED shooting light source 4 provides required shooting light source for picture system, in picture system; Phytoplankton cells is under the driving of peristaltic pump 3; Arrive flow chamber 2, in flow chamber 2, phytoplankton cells is by 4 irradiations of LED shooting light source; Its image information is gathered by CCD camera 15 through object lens the 5, the 2nd spectroscope 7 and eyepiece 12; And amplify through the optics amplification of object lens 5 and eyepiece 12 and the number of CCD camera 15, the phytoplankton cells image information has also obtained suitable amplification, satisfies the requirement of image recognition.
Said light path system is provided with laser instrument 14, light beam shaper the 11, the 1st spectroscope the 6, the 3rd spectroscope 8, optical filter the 9, the 1st fluorescence detector 10, optical filter 13 and the 2nd fluorescence detector 16; The laser that said laser instrument 14 sends; Through the integer of light beam shaper 11, form the hot spot of flat ellipse, under the refraction of the 1st spectroscope 6; Shine the phytoplankton cells of the flow chamber 2 of flowing through through object lens 5; Excite pigments such as the interior chlorophyll of phytoplankton cells body, rhodophyll to send fluorescence, the fluorescence signal that phytoplankton cells sends arrives the 3rd spectroscope 8 through object lens the 5, the 1st spectroscope the 6, the 2nd spectroscope 7 successively, under the effect of the 3rd spectroscope 8; Part fluorescence signal arrives the 1st fluorescence detector 10 through optical filter 9, and another part fluorescence signal arrives the 2nd fluorescence detector 16 through optical filter 13.
Through the 1st fluorescence detector 10 and the 2nd fluorescence detector 16 detected fluorescence signals, the phytoplankton cells quantity of the flow chamber 2 that can obtain to flow through and pigment thereof are formed.
Peristaltic pump 3 in said control circuit and the flow path system, the shooting of the LED in picture system light source 4 are connected with the 2nd fluorescence detector 16 with the 1st fluorescence detector 10 in CCD camera 15 and the light path system; Control circuit is not only controlled the work of peristaltic pump 3; And in IMAQ and the light path system of control picture system the 1st fluorescence detector 10 and the 2nd fluorescence detector 16 for the collection of fluorescence signal; Meanwhile; Image information is corresponding one by one with fluorescence signal, on circuit level, realize the coupling of flow cytometry technology and micro-imaging analytical technology.
Below provide specific embodiment:
1, the collection of halonereid image information and fluorescence signal:
In the present invention, the phytoplankton cells in the sample cell 1 arrives flow chamber 2 under the driving of peristaltic pump 3.In flow chamber 2, phytoplankton cells is under the irradiation of LED shooting light source 4, and its image information is gathered by CCD camera 15.In this process, the optics of object lens 5 and eyepiece 12 amplifies and the number of CCD camera 15 amplifies, and makes planktonic image information obtain suitable amplification, satisfies the successive image treatment requirement.
Meanwhile, phytoplankton cells is in passing through the process of flow chamber 2, and the laser that is sent by laser instrument 14 excites, and produces various fluorescence signals.Wherein the part fluorescence signal arrives spectroscope 8 under the converging of object lens 5, and under spectroscopical effect, through being further purified of optical filter 9 and optical filter 13, is detected by fluorescence detector 10 and fluorescence detector 16.In this process, light beam shaper 11 becomes flat ellipse with the laser facula shape by circle through laser is carried out integer, on the one hand, makes the laser intensity of unit area be improved, and then obtains stronger fluorescence signal; On the other hand, reduce the probability that two phytoplankton cells pass through laser facula simultaneously, increase the accuracy of instrument detecting.Optical filter 9 then defines fluorescence detector 10 and fluorescence detector 16 detected wavelength of fluorescence with optical filter 13, makes detected fluorescence signal can accurately reflect cytochrome content.These fluorescence signals carry out corresponding one by one with image information through time series.
2, halonereid particle diameter spectrum expert identification database:
Halonereid particle diameter spectrum expert identification database is divided into model construction and discerns two parts automatically, and wherein model construction is automatic base of recognition.In the model construction stage,, make up planktonic model database through detected planktonic organism image information and fluorescence signal are carried out the manual sort.And at automatic cognitive phase, planktonic organism characteristics of image that then extraction is obtained and fluorescent characteristics and model database are compared, and planktonic organism is classified, and its processing procedure comprises following three steps:
It at first is planktonic detection.Planktonic organism image information to acquiring is carried out pre-service, lowers the noise of image information, improves the contrast of planktonic organism image information and background.On this basis, survey the target area that planktonic organism possibly exist,, planktonic organism is separated from image information through texture analysis and border detection.
Next is the extraction of planktonic organism characteristics of image.On the basis that planktonic organism is surveyed, the planktonic organism image information to be handled, extraction can be represented different planktonic architectural features and statistical nature.Wherein, architectural feature mainly comprises girth, area, profile, gray scale, length, width, aspect ratio, flagellum quantity or the like; Statistical nature then mainly comprises standard deviation, variance, average pixel intensity, maximum pixel intensity etc.
Be planktonic classification at last.Characteristic in the planktonic organism characteristics of image that acquires and fluorescence signal and the model database is compared, confirm planktonic kind., planktonic organism according to its features of shape, is divided into more than 20 classifications such as sphere, semisphere, right cylinder, column ellipsoid here, the planktonic organism volume-based model is referring to Fig. 2, and the computing formula that each planktonic organism volume-based model is corresponding is following:
A:V=π/6*d 3
B:V=π/12*d 3
C:V=π/6*d 2*h
D:V=π/6*a*b*h
E:V=π/4*d 2*h
F:V=π/4*a*b*h
G: V = π / 12 * h * ( d 1 2 + d 1 d 2 + d 2 2 )
H:V=π/12*d 2*h
I:V=π/24*d 2*h
J:V=π/12*d 2*(h+d)
K:V=π/12*d 2*(h 1+h 2)
L:V=π/4*d 2*(h-d/3)
M:V=π*d 3*(h/4+d/6)
N:V=π/4*a*b*h
O:V=π/6*d 2*h*sin(w/d)
P:V≈π/4*a*b*h
Q:V≈π/4*a*b*h
R:V=1/2*a*b*h
S:V=l*w*h
T:V=1/2*l*w*h
U:V=1/2*h*w*(l 1+l 2)
V:V=1/3*l*w*h
W:V≈π/4*a*b*h
X: V = π / 3 * ( h 1 + h 2 ) * d 1 2 + π / 4 * ( d 2 + h 2 ) * d 2 2 + π / 12 * h 2 * d 1 * d 2
Y: V = π / 4 * d 1 2 * h 1 + π / 2 * d 3 2 * h 3 + π / 12 * ( d 1 2 + d 1 * d 2 + d 2 2 ) * h 2
Z: V = π / 4 * d 1 2 * h 1 + π / 12 * d 2 2 * h 2 + π / 12 * d 3 2 * h 3 + π / 6 * a * b * h
AA:V=π/3*d 2*h 1+π/4*a*b*h 2
In the formula:
V: planktonic volume;
π: circular constant;
A, b: major axis, the minor axis of planktonic organism elliposoidal tangent plane;
D: the diameter of planktonic organism cylindrical/spherical shape tangent plane;
H: the height of planktonic organism cylindrical/spherical shape tangent plane/taper tangent plane;
L, w: length, the width of planktonic organism rectangle tangent plane.
3, the structure of halonereid particle diameter spectrum:
Classification results according to planktonic organism expert identification database; Not only can obtain the planktonic gt of each classification; And can combine to extract the planktonic organism characteristics of image that obtains; Calculate planktonic volume (referring to Fig. 2) and equivalent spherical particle diameter (Equivalent Spherical Diameter, ESD):
ESD = 6 * V / π 3 . . . 1
In the formula: V: planktonic volume;
ESD: equivalent spherical particle diameter.
On this basis, utilize software set up automatically the standardization concentration particle diameter spectrum of halonereid (referring to document: Wu Chengye, Jiao Nianzhi. halonereid particle diameter spectral analysis technology [J]. the hi-tech communication, 2005,15 (04): 71-74):
lgF=lga+blgW………………………………………………·2
In the formula: F: cell concentration, biomass or standardization biomass;
W: the measured value of cell size, the volume of available cell or spherical particle diameter ESD represent;
The lga:Y y-intercept, TCS or total biomass in the reflection water body;
B: slope, reflected the distribution situation of biomass between the cell of different sizes.
Through above-mentioned processing procedure; The present invention can on-the-spotly make up standardized concentration particle diameter spectrum automatically; And, calculate intercept lg a and slope b, and then detect the planktonic distribution situation that obtains different-grain diameter size in the marine eco-environment through one-variable linear regression; And then the stability of evaluation marine ecosystems, the output of prediction fishery resources.

Claims (1)

1. halonereid particle diameter spectrum in-situs tester is characterized in that being provided with flow path system, picture system, light path system and control circuit; Said flow path system is provided with sample cell, flow chamber and peristaltic pump; Said sample cell, flow chamber and peristaltic pump are arranged in order; Said sample cell, flow chamber and peristaltic pump are connected through pipeline each other; Said peristaltic pump is connected with control circuit through serial ports, accepts the instruction of system software, realizes the automated analysis of instrument;
Said picture system is provided with LED shooting light source, object lens, the 2nd spectroscope, eyepiece and CCD camera, and said LED shooting light source is that picture system provides required shooting light source, in picture system; Phytoplankton cells is under the driving of peristaltic pump; Arrive flow chamber, in flow chamber, phytoplankton cells is by the LED light source irradiation of making a video recording; Its image information is gathered by the CCD camera through object lens, the 2nd spectroscope and eyepiece;
Said light path system is provided with laser instrument, light beam shaper, the 1st spectroscope, the 3rd spectroscope, optical filter, the 1st fluorescence detector, optical filter and the 2nd fluorescence detector; The laser that said laser instrument sends; Through the integer of light beam shaper, form the hot spot of flat ellipse, under the 1st spectroscopical refraction; Shine the phytoplankton cells of the flow chamber of flowing through through object lens; Excite pigments such as the interior chlorophyll of phytoplankton cells body, rhodophyll to send fluorescence, the fluorescence signal that phytoplankton cells sends arrives the 3rd spectroscope through object lens, the 1st spectroscope, the 2nd spectroscope successively, under the 3rd spectroscopical effect; Part fluorescence signal arrives the 1st fluorescence detector through optical filter, and another part fluorescence signal arrives the 2nd fluorescence detector through optical filter;
Peristaltic pump in said control circuit and the flow path system, the shooting of the LED in picture system light source are connected with the 2nd fluorescence detector with the 1st fluorescence detector in CCD camera and the light path system.
CN2012100545606A 2012-03-05 2012-03-05 Ocean plankton size-spectra in-situ detection instrument Pending CN102590053A (en)

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CN105527260A (en) * 2015-12-21 2016-04-27 江南大学 Online detection device of concentration of blue-green algae in water body
JP2016095259A (en) * 2014-11-17 2016-05-26 横河電機株式会社 Plankton measurement system and plankton measurement method
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CN109632590A (en) * 2019-01-08 2019-04-16 上海大学 A kind of luminous planktonic organism detection method in deep-sea
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JP2016095259A (en) * 2014-11-17 2016-05-26 横河電機株式会社 Plankton measurement system and plankton measurement method
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CN109632590A (en) * 2019-01-08 2019-04-16 上海大学 A kind of luminous planktonic organism detection method in deep-sea
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CN114137724A (en) * 2022-01-19 2022-03-04 北京层浪生物科技有限公司 Optical system for particle analyzer

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Application publication date: 20120718